EXP_157: results
Browse files- .gitattributes +2 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/README.md +16 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/checkpoints/LATEST.json +0 -9
- experiments/EXP_157_davidnet-qacp_scaled_s123/checkpoints/step-0002584/meta.json +0 -13
- experiments/EXP_157_davidnet-qacp_scaled_s123/configs/config.json +263 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/configs/environment.json +72 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/configs/experiment_metadata.json +38 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/configs/requirements.lock.txt +920 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/calibration_curve.pdf +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/calibration_curve.png +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/confusion_matrix.pdf +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/{checkpoints/step-0002584/training_state.pt → figures/confusion_matrix.png} +2 -2
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/learning_rate.pdf +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/learning_rate.png +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/per_class_performance.pdf +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/per_class_performance.png +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/per_generator.pdf +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/per_generator.png +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/precision_recall_curve.pdf +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/precision_recall_curve.png +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/roc_curve.pdf +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/roc_curve.png +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/score_distribution.pdf +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/score_distribution.png +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/training_loss.pdf +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/training_loss.png +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/validation_metrics.pdf +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/figures/validation_metrics.png +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/classification_report.csv +8 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/confusion_matrix.csv +5 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/cross_dataset_metrics.json +813 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/fairness.csv +15 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/per_class_metrics.csv +5 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/per_generator.csv +8 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/summary.json +1235 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/test_metrics.csv +4 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/test_metrics.json +193 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/thresholds.json +7 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/validation_metrics.json +192 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/predictions/cross_asvspoof2019-la.csv +3 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/predictions/cross_celeb-df-v2.csv +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/predictions/cross_deepfaketimit.csv +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/predictions/cross_dfdc-10.csv +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/predictions/cross_in-the-wild.csv +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/predictions/cross_wavefake.csv +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/predictions/test.csv +0 -0
- experiments/EXP_157_davidnet-qacp_scaled_s123/predictions/val.csv +0 -0
.gitattributes
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@@ -224,3 +224,5 @@ experiments/EXP_145_cross-attn_s42/predictions/cross_asvspoof2019-la.csv filter=
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experiments/EXP_150_avff_s456/predictions/cross_asvspoof2019-la.csv filter=lfs diff=lfs merge=lfs -text
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experiments/EXP_156_davidnet-qacp_scaled_s7/predictions/cross_asvspoof2019-la.csv filter=lfs diff=lfs merge=lfs -text
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experiments/EXP_156_davidnet-qacp_scaled_s7/figures/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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experiments/EXP_150_avff_s456/predictions/cross_asvspoof2019-la.csv filter=lfs diff=lfs merge=lfs -text
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experiments/EXP_156_davidnet-qacp_scaled_s7/predictions/cross_asvspoof2019-la.csv filter=lfs diff=lfs merge=lfs -text
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experiments/EXP_156_davidnet-qacp_scaled_s7/figures/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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experiments/EXP_157_davidnet-qacp_scaled_s123/predictions/cross_asvspoof2019-la.csv filter=lfs diff=lfs merge=lfs -text
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experiments/EXP_157_davidnet-qacp_scaled_s123/figures/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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experiments/EXP_157_davidnet-qacp_scaled_s123/README.md
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# EXP_157 - davidnet-qacp_scaled (seed 123)
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DAVID-Net initialized from Scaled QACP checkpoint.
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- group: `proposed`, stage: `stage1`, split protocol: `strict`
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- initialised from: `qacp-scaled`
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- config hash: `c858797d8fa5`, feature set: `fs-a3b70d8acd`
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- best epoch 13 (0.9954095238095239), 19 epochs, 0.261 h, stop: early stopping: no improvement in 6 epochs
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| test task | AUC | EER | F1@val-thr |
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|---|---|---|---|
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| video | 0.9769 | 0.0682 | 0.9598 |
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| audio | 0.9999 | 0.0058 | 0.9873 |
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| clip | 0.9804 | 0.0724 | 0.9756 |
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Files: `configs/` (config, environment, metadata, requirements), `metrics/`, `predictions/`, `figures/`, `logs/`, `best_model/`.
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experiments/EXP_157_davidnet-qacp_scaled_s123/checkpoints/LATEST.json
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{
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"step": 2584,
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"dir": "checkpoints/step-0002584",
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"updated_at": "2026-11-01T13:09:57Z",
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"config_hash": "c858797d8fa5",
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"history": [
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"checkpoints/step-0002584"
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]
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}
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experiments/EXP_157_davidnet-qacp_scaled_s123/checkpoints/step-0002584/meta.json
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{
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"config_hash": "c858797d8fa5",
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"created_at": "2026-11-01T13:09:54Z",
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"epoch": 19,
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"files": {
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"training_state.pt": {
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"bytes": 1003391891,
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"sha256": "25de945d09fdeccb7ffeec9f2b90d03c48b9d83648441cb8dbf9f2132d086253"
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}
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},
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"reason": "completed",
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"step": 2584
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}
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experiments/EXP_157_davidnet-qacp_scaled_s123/configs/config.json
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{
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"project": {
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"name": "DAVID-Net-AV",
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"hf_repo": "MIHMahmudEli/davidnet-experiments",
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"hf_repo_type": "model",
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"hf_data_repo": "MIHMahmudEli/davidnet-q1-data",
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"hf_private": false,
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"code_repo": "https://github.com/MIHMahmudEli/Thesis.git",
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"code_revision": "462c9a04421450e560af4f695fcb0babb3d89283",
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"work_dir": "/kaggle/working/davidnet",
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"scratch_dir": "/tmp/davidnet"
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},
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"mode": "full",
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"seeds": [
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123
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],
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"data": {
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"primary": "fakeavceleb",
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"split_protocol": "strict_identity",
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"split_seed": 42,
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"split_fractions": [
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0.65,
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0.15,
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0.2
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],
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"n_frames": 16,
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"window_seconds": 4.0,
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"sample_rate": 16000,
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"frame_size": 224,
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"cache_frames": 24,
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"cache_seconds": 6.0,
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"face_crop": {
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| 33 |
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"enabled": true,
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"detector": "yunet",
|
| 35 |
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"detect_frames": 4,
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| 36 |
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"box_scale": 1.8,
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| 37 |
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"decode_max_side": 640
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},
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| 39 |
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"cross_datasets": {
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| 40 |
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"celeb-df-v2": {
|
| 41 |
+
"use_official_test_list": true
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| 42 |
+
},
|
| 43 |
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"dfdc-10": {
|
| 44 |
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"max_real": 2500,
|
| 45 |
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"max_fake": 2500
|
| 46 |
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},
|
| 47 |
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"deepfaketimit": {},
|
| 48 |
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"asvspoof2019-la": {
|
| 49 |
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"partition": "eval"
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| 50 |
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},
|
| 51 |
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"in-the-wild": {},
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| 52 |
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"wavefake": {
|
| 53 |
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"max_per_generator": 1000
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| 54 |
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}
|
| 55 |
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},
|
| 56 |
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"subsample_seed": 0
|
| 57 |
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},
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"features": {
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"video_model": "MCG-NJU/videomae-base",
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| 60 |
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"audio_model": "microsoft/wavlm-base-plus",
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| 61 |
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"video_spatial_grid": 4,
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| 62 |
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"audio_tokens": 50,
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| 63 |
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"dtype": "float16",
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"train_view_offsets": [
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0,
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4,
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| 67 |
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8
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| 68 |
+
],
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| 69 |
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"eval_view_offset": 4,
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| 70 |
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"qacp_variants_per_clip": 4,
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| 71 |
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"shard_clips": 512,
|
| 72 |
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"shard_clips_audio": 4096,
|
| 73 |
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"extract_batch_size": "auto"
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| 74 |
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},
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| 75 |
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"model": {
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| 76 |
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"d_model": 768,
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| 77 |
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"n_heads": 8,
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| 78 |
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"n_fusion_layers": 4,
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| 79 |
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"dropout": 0.1,
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| 80 |
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"use_sync": true,
|
| 81 |
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"use_disentangle": true,
|
| 82 |
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"compose_quadrant": false
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},
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| 84 |
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"train": {
|
| 85 |
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"stage1": {
|
| 86 |
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"epochs": 30,
|
| 87 |
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"effective_batch": 64,
|
| 88 |
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"micro_batch": "auto",
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| 89 |
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"optimizer": "adamw",
|
| 90 |
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"lr": 0.0001,
|
| 91 |
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"weight_decay": 0.05,
|
| 92 |
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"betas": [
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| 93 |
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0.9,
|
| 94 |
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0.999
|
| 95 |
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],
|
| 96 |
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"scheduler": "warmup_cosine",
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| 97 |
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"warmup_ratio": 0.05,
|
| 98 |
+
"min_lr_ratio": 0.01,
|
| 99 |
+
"max_grad_norm": 1.0,
|
| 100 |
+
"early_stopping_patience": 6,
|
| 101 |
+
"selection_metric": "val/mean_auc",
|
| 102 |
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"sampler": "sqrt_balanced",
|
| 103 |
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"sampler_key": "quadrant",
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| 104 |
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"modality_dropout": 0.15,
|
| 105 |
+
"loss_weights": {
|
| 106 |
+
"v": 1.0,
|
| 107 |
+
"a": 1.0,
|
| 108 |
+
"quad": 0.5,
|
| 109 |
+
"loc": 0.5,
|
| 110 |
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"sync": 0.1,
|
| 111 |
+
"disentangle": 0.1
|
| 112 |
+
},
|
| 113 |
+
"init_from_qacp": true,
|
| 114 |
+
"nonfinite_patience": 20
|
| 115 |
+
},
|
| 116 |
+
"qacp": {
|
| 117 |
+
"epochs": 40,
|
| 118 |
+
"effective_batch": 256,
|
| 119 |
+
"micro_batch": "auto",
|
| 120 |
+
"lr": 0.0003,
|
| 121 |
+
"weight_decay": 0.05,
|
| 122 |
+
"betas": [
|
| 123 |
+
0.9,
|
| 124 |
+
0.999
|
| 125 |
+
],
|
| 126 |
+
"scheduler": "warmup_cosine",
|
| 127 |
+
"warmup_ratio": 0.05,
|
| 128 |
+
"min_lr_ratio": 0.01,
|
| 129 |
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"max_grad_norm": 1.0,
|
| 130 |
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"early_stopping_patience": 8,
|
| 131 |
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"selection_metric": "val/qacp_loss",
|
| 132 |
+
"temperature": 0.1,
|
| 133 |
+
"items_per_epoch": 4096,
|
| 134 |
+
"pseudo_classes": [
|
| 135 |
+
"RVRA",
|
| 136 |
+
"RVFA",
|
| 137 |
+
"FVRA",
|
| 138 |
+
"FVFA",
|
| 139 |
+
"MISMATCH"
|
| 140 |
+
],
|
| 141 |
+
"nonfinite_patience": 20
|
| 142 |
+
},
|
| 143 |
+
"baseline": {
|
| 144 |
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"epochs": 30,
|
| 145 |
+
"effective_batch": 64,
|
| 146 |
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"micro_batch": "auto",
|
| 147 |
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"lr": 0.001,
|
| 148 |
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"weight_decay": 0.01,
|
| 149 |
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"betas": [
|
| 150 |
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0.9,
|
| 151 |
+
0.999
|
| 152 |
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],
|
| 153 |
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"scheduler": "warmup_cosine",
|
| 154 |
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"warmup_ratio": 0.05,
|
| 155 |
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|
| 156 |
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|
| 157 |
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"early_stopping_patience": 6,
|
| 158 |
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"selection_metric": "val/mean_auc",
|
| 159 |
+
"sampler": "sqrt_balanced",
|
| 160 |
+
"sampler_key": "quadrant",
|
| 161 |
+
"nonfinite_patience": 20
|
| 162 |
+
},
|
| 163 |
+
"phase_b": {
|
| 164 |
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"epochs": 6,
|
| 165 |
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"effective_batch": 16,
|
| 166 |
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"micro_batch": "auto",
|
| 167 |
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"lr": 3e-05,
|
| 168 |
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"lr_encoder": 1e-05,
|
| 169 |
+
"weight_decay": 0.05,
|
| 170 |
+
"betas": [
|
| 171 |
+
0.9,
|
| 172 |
+
0.999
|
| 173 |
+
],
|
| 174 |
+
"scheduler": "warmup_cosine",
|
| 175 |
+
"warmup_ratio": 0.1,
|
| 176 |
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"min_lr_ratio": 0.01,
|
| 177 |
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"max_grad_norm": 1.0,
|
| 178 |
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"early_stopping_patience": 3,
|
| 179 |
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"selection_metric": "val/mean_auc",
|
| 180 |
+
"sampler": "sqrt_balanced",
|
| 181 |
+
"sampler_key": "quadrant",
|
| 182 |
+
"modality_dropout": 0.15,
|
| 183 |
+
"loss_weights": {
|
| 184 |
+
"v": 1.0,
|
| 185 |
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"a": 1.0,
|
| 186 |
+
"quad": 0.5,
|
| 187 |
+
"loc": 0.5,
|
| 188 |
+
"sync": 0.1,
|
| 189 |
+
"disentangle": 0.1
|
| 190 |
+
},
|
| 191 |
+
"unfreeze_top_blocks_video": 2,
|
| 192 |
+
"unfreeze_top_blocks_audio": 2,
|
| 193 |
+
"gradient_checkpointing": true,
|
| 194 |
+
"temporal_augment": true,
|
| 195 |
+
"nonfinite_patience": 20
|
| 196 |
+
}
|
| 197 |
+
},
|
| 198 |
+
"checkpoint": {
|
| 199 |
+
"every_steps": 500,
|
| 200 |
+
"every_minutes": 20.0,
|
| 201 |
+
"keep_last": 2,
|
| 202 |
+
"prune_resume_state_on_completion": true,
|
| 203 |
+
"upload_retries": 6,
|
| 204 |
+
"background_upload": true
|
| 205 |
+
},
|
| 206 |
+
"session": {
|
| 207 |
+
"time_budget_hours": 11.5,
|
| 208 |
+
"safety_minutes": 25.0,
|
| 209 |
+
"heartbeat_minutes": 10.0,
|
| 210 |
+
"lease_minutes": 30.0,
|
| 211 |
+
"worker_name": "kaggle-worker-3"
|
| 212 |
+
},
|
| 213 |
+
"plan": {
|
| 214 |
+
"groups": null,
|
| 215 |
+
"only": [
|
| 216 |
+
"davidnet-qacp_scaled"
|
| 217 |
+
],
|
| 218 |
+
"run_phase_b": true,
|
| 219 |
+
"stop_on_error": true
|
| 220 |
+
},
|
| 221 |
+
"evaluation": {
|
| 222 |
+
"threshold_policy": "val_eer",
|
| 223 |
+
"bootstrap": 1000,
|
| 224 |
+
"ece_bins": 15,
|
| 225 |
+
"ci_level": 0.95
|
| 226 |
+
},
|
| 227 |
+
"hardware": {
|
| 228 |
+
"precision": "auto",
|
| 229 |
+
"num_workers": "auto",
|
| 230 |
+
"deterministic": true
|
| 231 |
+
},
|
| 232 |
+
"mixed_precision": true,
|
| 233 |
+
"smoke": {
|
| 234 |
+
"max_clips_per_split": 48,
|
| 235 |
+
"epochs": 2,
|
| 236 |
+
"every_steps": 3,
|
| 237 |
+
"datasets": [
|
| 238 |
+
"fakeavceleb",
|
| 239 |
+
"in-the-wild"
|
| 240 |
+
]
|
| 241 |
+
},
|
| 242 |
+
"seed": 123,
|
| 243 |
+
"experiment": {
|
| 244 |
+
"name": "davidnet-qacp_scaled",
|
| 245 |
+
"stage": "stage1",
|
| 246 |
+
"group": "proposed",
|
| 247 |
+
"split": "strict",
|
| 248 |
+
"init_from": "qacp-scaled",
|
| 249 |
+
"baseline_model": null,
|
| 250 |
+
"components": {
|
| 251 |
+
"qacp": true,
|
| 252 |
+
"sync": true,
|
| 253 |
+
"disentangle": true,
|
| 254 |
+
"localization": true,
|
| 255 |
+
"multitask": true,
|
| 256 |
+
"modality_dropout": true,
|
| 257 |
+
"mismatch_class": true,
|
| 258 |
+
"copy_synthesis": true,
|
| 259 |
+
"self_blending": true
|
| 260 |
+
},
|
| 261 |
+
"description": "DAVID-Net initialized from Scaled QACP checkpoint."
|
| 262 |
+
}
|
| 263 |
+
}
|
experiments/EXP_157_davidnet-qacp_scaled_s123/configs/environment.json
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"timestamp_utc": "2026-11-01T12:47:24Z",
|
| 3 |
+
"python": "3.13.15",
|
| 4 |
+
"python_version": "3.13.15",
|
| 5 |
+
"platform": "Linux-6.18.55+-x86_64-with-glibc2.39",
|
| 6 |
+
"hostname": "bc0e829a6c64",
|
| 7 |
+
"cpu_count": 4,
|
| 8 |
+
"torch": "2.11.0+cu128",
|
| 9 |
+
"torch_version": "2.11.0+cu128",
|
| 10 |
+
"worker_name": "kaggle-worker-3",
|
| 11 |
+
"cuda_available": true,
|
| 12 |
+
"cuda_version": "12.8",
|
| 13 |
+
"cudnn_version": 91900,
|
| 14 |
+
"gpus": [
|
| 15 |
+
{
|
| 16 |
+
"index": 0,
|
| 17 |
+
"name": "Tesla T4",
|
| 18 |
+
"total_memory_gb": 15.64,
|
| 19 |
+
"capability": "7.5",
|
| 20 |
+
"multi_processor_count": 40
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"index": 1,
|
| 24 |
+
"name": "Tesla T4",
|
| 25 |
+
"total_memory_gb": 15.64,
|
| 26 |
+
"capability": "7.5",
|
| 27 |
+
"multi_processor_count": 40
|
| 28 |
+
}
|
| 29 |
+
],
|
| 30 |
+
"packages": {
|
| 31 |
+
"torch": "2.11.0+cu128",
|
| 32 |
+
"torchaudio": "2.11.0+cu128",
|
| 33 |
+
"torchvision": "0.26.0+cu128",
|
| 34 |
+
"transformers": "5.16.1",
|
| 35 |
+
"huggingface_hub": "1.29.0",
|
| 36 |
+
"safetensors": "0.8.0",
|
| 37 |
+
"numpy": "2.1.3",
|
| 38 |
+
"scipy": "1.16.3",
|
| 39 |
+
"scikit-learn": "1.6.1",
|
| 40 |
+
"pandas": "2.3.3",
|
| 41 |
+
"matplotlib": "3.10.0",
|
| 42 |
+
"opencv-python": "4.14.0.94",
|
| 43 |
+
"opencv-python-headless": "4.14.0.94",
|
| 44 |
+
"accelerate": "1.14.0"
|
| 45 |
+
},
|
| 46 |
+
"nvidia_smi": "Tesla T4, 580.178.04, 15360 MiB\nTesla T4, 580.178.04, 15360 MiB",
|
| 47 |
+
"kaggle": {
|
| 48 |
+
"KAGGLE_KERNEL_RUN_TYPE": "Batch",
|
| 49 |
+
"KAGGLE_URL_BASE": "https://api.kaggle.com",
|
| 50 |
+
"KAGGLE_DOCKER_IMAGE": "gcr.io/kaggle-gpu-images/python@sha256:9a6bcfda6d03b2cd9aa347ee8c1bae62043328ed0f4afe9bda014e4f8bbf9435",
|
| 51 |
+
"KAGGLE_CONTAINER_NAME": "kaggle_GhP7tyf4j3Ks7j4CBxKn55wiiakFN4ypk6BwKMJc-364546351-webtier"
|
| 52 |
+
},
|
| 53 |
+
"ffmpeg": [
|
| 54 |
+
"ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers"
|
| 55 |
+
],
|
| 56 |
+
"git": {
|
| 57 |
+
"commit": "320dc56ad9ce522377ad527721fd8a9911b65da7",
|
| 58 |
+
"dirty": false,
|
| 59 |
+
"remote": "https://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@github.com/MIHMahmudEli/Thesis.git"
|
| 60 |
+
},
|
| 61 |
+
"git_commit": "320dc56ad9ce522377ad527721fd8a9911b65da7",
|
| 62 |
+
"hardware": {
|
| 63 |
+
"precision": "fp16",
|
| 64 |
+
"num_workers": 3,
|
| 65 |
+
"deterministic": true,
|
| 66 |
+
"device": "cuda",
|
| 67 |
+
"n_gpus": 2,
|
| 68 |
+
"gpu_name": "Tesla T4",
|
| 69 |
+
"vram_gb": 15.64,
|
| 70 |
+
"pin_memory": true
|
| 71 |
+
}
|
| 72 |
+
}
|
experiments/EXP_157_davidnet-qacp_scaled_s123/configs/experiment_metadata.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment_id": "EXP_157",
|
| 3 |
+
"name": "davidnet-qacp_scaled",
|
| 4 |
+
"seed": 123,
|
| 5 |
+
"group": "proposed",
|
| 6 |
+
"stage": "stage1",
|
| 7 |
+
"split_protocol": "strict",
|
| 8 |
+
"init_from": "qacp-scaled",
|
| 9 |
+
"description": "DAVID-Net initialized from Scaled QACP checkpoint.",
|
| 10 |
+
"components": {
|
| 11 |
+
"qacp": true,
|
| 12 |
+
"sync": true,
|
| 13 |
+
"disentangle": true,
|
| 14 |
+
"localization": true,
|
| 15 |
+
"multitask": true,
|
| 16 |
+
"modality_dropout": true,
|
| 17 |
+
"mismatch_class": true,
|
| 18 |
+
"copy_synthesis": true,
|
| 19 |
+
"self_blending": true
|
| 20 |
+
},
|
| 21 |
+
"config_hash": "c858797d8fa5",
|
| 22 |
+
"feature_set_id": "fs-a3b70d8acd",
|
| 23 |
+
"model_revisions": {
|
| 24 |
+
"audio": "4c66d4806a428f2e922ccfa1a962776e232d487b",
|
| 25 |
+
"video": "dc740ceda42fce44faed2ea03c6d447db72f6af9"
|
| 26 |
+
},
|
| 27 |
+
"data_freeze_sha": "30767e27dae3811f2c9bddffa0ca539ea17f7393d08a39c8f39a5e9fecccd6c4",
|
| 28 |
+
"git": {
|
| 29 |
+
"commit": "320dc56ad9ce522377ad527721fd8a9911b65da7",
|
| 30 |
+
"dirty": false,
|
| 31 |
+
"remote": "https://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@github.com/MIHMahmudEli/Thesis.git"
|
| 32 |
+
},
|
| 33 |
+
"hf_repo": "MIHMahmudEli/davidnet-experiments",
|
| 34 |
+
"hf_revision_at_session_start": "72989b2279d6fb4e482c69f97a5bce77082d9eec",
|
| 35 |
+
"hf_data_repo": "MIHMahmudEli/davidnet-q1-data",
|
| 36 |
+
"registered_at": "2026-11-01T12:47:40Z",
|
| 37 |
+
"mode": "full"
|
| 38 |
+
}
|
experiments/EXP_157_davidnet-qacp_scaled_s123/configs/requirements.lock.txt
ADDED
|
@@ -0,0 +1,920 @@
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
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|
|
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|
|
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|
|
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|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
| 1 |
+
a2a-sdk==1.2.3
|
| 2 |
+
absl-py==1.4.0
|
| 3 |
+
accelerate==1.14.0
|
| 4 |
+
access==1.1.10.post3
|
| 5 |
+
affine==3.0.1
|
| 6 |
+
aiobotocore==2.26.0
|
| 7 |
+
aiofiles==25.1.0
|
| 8 |
+
aiohappyeyeballs==2.7.1
|
| 9 |
+
aiohttp==3.14.3
|
| 10 |
+
aioitertools==0.13.0
|
| 11 |
+
aiosignal==1.4.0
|
| 12 |
+
aiosqlite==0.22.1
|
| 13 |
+
alabaster==1.0.0
|
| 14 |
+
albucore==0.0.24
|
| 15 |
+
albumentations==2.0.8
|
| 16 |
+
ale-py==0.12.1
|
| 17 |
+
alembic==1.20.1
|
| 18 |
+
altair==5.5.0
|
| 19 |
+
annotated-doc==0.0.5
|
| 20 |
+
annotated-types==0.8.0
|
| 21 |
+
antlr4-python3-runtime==4.9.3
|
| 22 |
+
anyio==4.14.2
|
| 23 |
+
anywidget==0.9.21
|
| 24 |
+
apsw==3.53.4.0
|
| 25 |
+
argon2-cffi==25.1.0
|
| 26 |
+
argon2-cffi-bindings==26.1.0
|
| 27 |
+
args==0.1.0
|
| 28 |
+
array_record==0.8.3
|
| 29 |
+
arrow==1.4.0
|
| 30 |
+
arviz==0.22.0
|
| 31 |
+
asn1crypto==1.5.1
|
| 32 |
+
astropy==7.2.2
|
| 33 |
+
astropy-iers-data==0.2026.8.31.0.57.9
|
| 34 |
+
asttokens==3.0.2
|
| 35 |
+
astunparse==1.6.3
|
| 36 |
+
async-lru==2.4.0
|
| 37 |
+
atpublic==5.1
|
| 38 |
+
attrs==26.1.0
|
| 39 |
+
audioop-lts==0.2.2
|
| 40 |
+
audioread==3.1.0
|
| 41 |
+
Authlib==1.8.0
|
| 42 |
+
autograd==1.9.1
|
| 43 |
+
babel==2.18.0
|
| 44 |
+
backcall==0.2.0
|
| 45 |
+
bayesian-optimization==3.4.0
|
| 46 |
+
beartype==0.22.9
|
| 47 |
+
beautifulsoup4==4.13.5
|
| 48 |
+
betterproto==2.0.0b7
|
| 49 |
+
bigframes==2.48.0
|
| 50 |
+
bigquery-magics==0.14.0
|
| 51 |
+
black==26.10.1
|
| 52 |
+
blake3==1.0.11
|
| 53 |
+
bleach==6.4.0
|
| 54 |
+
blinker==1.9.0
|
| 55 |
+
blis==1.3.3
|
| 56 |
+
blobfile==3.3.0
|
| 57 |
+
blosc2==4.12.0
|
| 58 |
+
bokeh==3.8.2
|
| 59 |
+
Boruta==0.4.3
|
| 60 |
+
boto3==1.41.5
|
| 61 |
+
botocore==1.41.5
|
| 62 |
+
Bottleneck==1.4.2
|
| 63 |
+
bqplot==0.12.47
|
| 64 |
+
branca==0.8.2
|
| 65 |
+
brotli==1.2.0
|
| 66 |
+
build==1.6.1
|
| 67 |
+
cachebox==5.2.3
|
| 68 |
+
CacheControl==0.14.4
|
| 69 |
+
cachetools==6.2.6
|
| 70 |
+
Cartopy==0.26.0
|
| 71 |
+
catalogue==2.0.10
|
| 72 |
+
catboost==1.2.10
|
| 73 |
+
category_encoders==2.11.1
|
| 74 |
+
certifi==2026.10.19
|
| 75 |
+
cesium==0.12.4
|
| 76 |
+
cffi==2.1.1
|
| 77 |
+
chardet==5.2.0
|
| 78 |
+
charset-normalizer==3.4.9
|
| 79 |
+
chex==0.1.90
|
| 80 |
+
clarabel==0.11.1
|
| 81 |
+
click==8.5.0
|
| 82 |
+
click-plugins==1.1.1.2
|
| 83 |
+
cligj==0.7.2
|
| 84 |
+
clint==0.5.1
|
| 85 |
+
cloudpathlib==0.25.0
|
| 86 |
+
cloudpickle==3.1.2
|
| 87 |
+
cmake==3.31.10
|
| 88 |
+
cmdstanpy==1.3.0
|
| 89 |
+
colorama==0.4.6
|
| 90 |
+
colorcet==3.2.1
|
| 91 |
+
colorlog==6.12.0
|
| 92 |
+
colorlover==0.3.0
|
| 93 |
+
comm==0.2.3
|
| 94 |
+
community==1.0.0b1
|
| 95 |
+
confection==1.3.3
|
| 96 |
+
ConfigSpace==1.2.2
|
| 97 |
+
cons==0.4.7
|
| 98 |
+
contourpy==1.3.3
|
| 99 |
+
coverage==7.16.2
|
| 100 |
+
cramjam==2.12.1
|
| 101 |
+
cryptography==50.0.1
|
| 102 |
+
cucim-cu12 @ https://pypi.nvidia.com/cucim-cu12/cucim_cu12-26.2.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
|
| 103 |
+
cuda-bindings==12.9.7
|
| 104 |
+
cuda-core==0.3.2
|
| 105 |
+
cuda-pathfinder==1.8.0
|
| 106 |
+
cuda-python==12.9.7
|
| 107 |
+
cuda-toolkit==12.8.1
|
| 108 |
+
cudf-cu12==26.2.1
|
| 109 |
+
cudf-polars-cu12==26.2.1
|
| 110 |
+
cufflinks==0.17.3
|
| 111 |
+
cuml-cu12==26.2.0
|
| 112 |
+
cupy-cuda12x==14.0.1
|
| 113 |
+
curl_cffi==0.16.2
|
| 114 |
+
cuvs-cu12 @ https://pypi.nvidia.com/cuvs-cu12/cuvs_cu12-26.2.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
|
| 115 |
+
cvxopt==1.3.2
|
| 116 |
+
cvxpy==1.6.7
|
| 117 |
+
cycler==0.12.1
|
| 118 |
+
cyipopt==1.5.0
|
| 119 |
+
cymem==2.0.13
|
| 120 |
+
Cython==3.0.12
|
| 121 |
+
cytoolz==1.2.0
|
| 122 |
+
dacite==1.9.2
|
| 123 |
+
dask==2026.1.1
|
| 124 |
+
dask-cuda==26.2.0
|
| 125 |
+
dask-cudf-cu12==26.2.1
|
| 126 |
+
dask-expr==2.0.0
|
| 127 |
+
dask-jobqueue==0.9.0
|
| 128 |
+
dataclasses-json==0.6.7
|
| 129 |
+
dataproc-spark-connect==1.1.0
|
| 130 |
+
datasets==4.8.5
|
| 131 |
+
db-dtypes==1.7.1
|
| 132 |
+
dbus-python==1.3.2
|
| 133 |
+
deap==1.4.4
|
| 134 |
+
debugpy==1.8.15
|
| 135 |
+
decorator==5.3.1
|
| 136 |
+
deepdiff==9.1.0
|
| 137 |
+
defusedxml==0.7.1
|
| 138 |
+
Deprecated==3.0.0
|
| 139 |
+
deprecation==2.1.0
|
| 140 |
+
diffusers==0.40.0
|
| 141 |
+
dill==0.4.1
|
| 142 |
+
dipy==1.12.1
|
| 143 |
+
distributed==2026.1.1
|
| 144 |
+
distributed-ucxx-cu12==0.48.0
|
| 145 |
+
distro==1.9.0
|
| 146 |
+
dlib==19.24.6
|
| 147 |
+
dm-tree==0.1.10
|
| 148 |
+
dnspython==2.9.0
|
| 149 |
+
docker==7.2.0
|
| 150 |
+
docstring-to-markdown==0.17
|
| 151 |
+
docstring_parser==0.18.0
|
| 152 |
+
docutils==0.21.2
|
| 153 |
+
dopamine_rl==4.1.2
|
| 154 |
+
duckdb==1.3.2
|
| 155 |
+
earthengine-api==1.7.39
|
| 156 |
+
easydict==1.13
|
| 157 |
+
easyocr==1.7.2
|
| 158 |
+
editdistance==0.8.1
|
| 159 |
+
eerepr==0.1.2
|
| 160 |
+
einops==0.8.2
|
| 161 |
+
email-validator==2.3.0
|
| 162 |
+
emoji==2.16.0
|
| 163 |
+
en_core_web_sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl#sha256=1932429db727d4bff3deed6b34cfc05df17794f4a52eeb26cf8928f7c1a0fb85
|
| 164 |
+
entrypoints==0.4
|
| 165 |
+
esda==2.9.0
|
| 166 |
+
et_xmlfile==2.0.0
|
| 167 |
+
etils==1.14.0
|
| 168 |
+
etuples==0.3.10
|
| 169 |
+
execnb==0.3.3
|
| 170 |
+
Farama-Notifications==0.0.6
|
| 171 |
+
fastai==2.8.8
|
| 172 |
+
fastapi==0.141.1
|
| 173 |
+
fastcore==2.2.33
|
| 174 |
+
fastdownload==0.0.7
|
| 175 |
+
fastgit==0.1.4
|
| 176 |
+
fastjsonschema==2.22.2
|
| 177 |
+
fastprogress==1.1.6
|
| 178 |
+
fastspec==0.2.5
|
| 179 |
+
fasttext==0.9.3
|
| 180 |
+
fasttransform==0.0.2
|
| 181 |
+
fasttransport==0.0.4
|
| 182 |
+
fastuuid==0.14.0
|
| 183 |
+
featuretools==1.31.0
|
| 184 |
+
filelock==3.32.5
|
| 185 |
+
filetype==1.2.0
|
| 186 |
+
fiona==1.10.1
|
| 187 |
+
firebase-admin==6.9.0
|
| 188 |
+
Flask==3.1.3
|
| 189 |
+
flatbuffers==25.12.19
|
| 190 |
+
flax==0.12.10
|
| 191 |
+
folium==0.20.0
|
| 192 |
+
fonttools==4.64.0
|
| 193 |
+
formulaic==1.2.2
|
| 194 |
+
fqdn==1.5.1
|
| 195 |
+
frozendict==2.4.7
|
| 196 |
+
frozenlist==1.8.0
|
| 197 |
+
fsspec==2025.12.0
|
| 198 |
+
func_timeout==4.3.5
|
| 199 |
+
funcy==2.1
|
| 200 |
+
fury==0.11.0
|
| 201 |
+
future==1.0.0
|
| 202 |
+
fuzzywuzzy==0.18.0
|
| 203 |
+
gast==0.7.0
|
| 204 |
+
gatspy==0.3
|
| 205 |
+
gcsfs==2025.12.0
|
| 206 |
+
GDAL==3.8.4
|
| 207 |
+
gdown==5.2.2
|
| 208 |
+
geemap==0.38.4
|
| 209 |
+
gensim==4.4.0
|
| 210 |
+
geocoder==1.38.1
|
| 211 |
+
geographiclib==2.1
|
| 212 |
+
geojson==3.3.0
|
| 213 |
+
geopandas==1.1.4
|
| 214 |
+
geopy==2.4.1
|
| 215 |
+
gepa==0.1.4
|
| 216 |
+
ghapi==2.1.4
|
| 217 |
+
giddy==2.3.9
|
| 218 |
+
gin-config==0.5.0
|
| 219 |
+
glob2==0.7
|
| 220 |
+
google==3.0.0
|
| 221 |
+
google-adk==2.7.1
|
| 222 |
+
google-ai-generativelanguage==0.6.15
|
| 223 |
+
google-api-core==2.30.3
|
| 224 |
+
google-api-python-client==2.200.0
|
| 225 |
+
google-auth==2.49.0
|
| 226 |
+
google-auth-httplib2==0.4.2
|
| 227 |
+
google-auth-oauthlib==1.4.1
|
| 228 |
+
google-cloud-aiplatform==2.6.0
|
| 229 |
+
google-cloud-bigquery==3.44.0
|
| 230 |
+
google-cloud-bigquery-connection==1.22.0
|
| 231 |
+
google-cloud-core==2.7.0
|
| 232 |
+
google-cloud-dataproc==5.28.0
|
| 233 |
+
google-cloud-datastore==2.25.0
|
| 234 |
+
google-cloud-firestore==2.27.0
|
| 235 |
+
google-cloud-functions==1.24.0
|
| 236 |
+
google-cloud-language==2.21.0
|
| 237 |
+
google-cloud-monitoring==2.31.0
|
| 238 |
+
google-cloud-resource-manager==1.18.0
|
| 239 |
+
google-cloud-spanner==3.68.0
|
| 240 |
+
google-cloud-storage==3.13.1
|
| 241 |
+
google-cloud-storage-control==1.12.0
|
| 242 |
+
google-cloud-texttospeech==2.37.0
|
| 243 |
+
google-cloud-translate==3.27.0
|
| 244 |
+
google-cloud-videointelligence==2.20.0
|
| 245 |
+
google-cloud-vision==3.15.0
|
| 246 |
+
google-colab @ file:///colabtools/dist/google_colab-1.0.0.tar.gz
|
| 247 |
+
google-crc32c==1.8.0
|
| 248 |
+
google-genai==2.12.1
|
| 249 |
+
google-generativeai==0.8.6
|
| 250 |
+
google-pasta==0.2.0
|
| 251 |
+
google-resumable-media==2.10.2
|
| 252 |
+
googleapis-common-protos==1.75.0
|
| 253 |
+
googledrivedownloader==1.1.0
|
| 254 |
+
gpxpy==1.6.2
|
| 255 |
+
gradio==6.26.0
|
| 256 |
+
gradio_client==2.6.1
|
| 257 |
+
grain==0.2.18
|
| 258 |
+
graphviz==0.21
|
| 259 |
+
greenlet==3.5.5
|
| 260 |
+
groovy==0.1.2
|
| 261 |
+
grpc-google-iam-v1==0.14.4
|
| 262 |
+
grpc-interceptor==0.15.4
|
| 263 |
+
grpcio==1.84.0
|
| 264 |
+
grpcio-status==1.71.2
|
| 265 |
+
grpcio-tools==1.71.2
|
| 266 |
+
grpclib==0.4.9
|
| 267 |
+
gspread==6.2.1
|
| 268 |
+
gspread-dataframe==4.0.0
|
| 269 |
+
gym==0.26.2
|
| 270 |
+
gym-notices==0.1.0
|
| 271 |
+
gymnasium==1.2.0
|
| 272 |
+
gymnax==0.0.8
|
| 273 |
+
h11==0.16.0
|
| 274 |
+
h2==4.4.1
|
| 275 |
+
h2o==3.46.0.12
|
| 276 |
+
h5netcdf==1.8.1
|
| 277 |
+
h5py==3.16.0
|
| 278 |
+
haversine==2.9.0
|
| 279 |
+
hdbscan==0.8.44
|
| 280 |
+
hep_ml==0.8.0
|
| 281 |
+
hf-gradio==0.4.1
|
| 282 |
+
hf-xet==1.6.0
|
| 283 |
+
highspy==1.15.1
|
| 284 |
+
holidays==0.103
|
| 285 |
+
holoviews==1.23.2
|
| 286 |
+
hpack==4.2.0
|
| 287 |
+
html5lib==1.1
|
| 288 |
+
httpcore==1.0.9
|
| 289 |
+
httpcore2==2.12.0
|
| 290 |
+
httpimport==1.4.1
|
| 291 |
+
httplib2==0.32.0
|
| 292 |
+
httptools==0.8.0
|
| 293 |
+
httpx==0.28.1
|
| 294 |
+
httpx2==2.12.0
|
| 295 |
+
huggingface_hub==1.29.0
|
| 296 |
+
humanize==4.16.0
|
| 297 |
+
hyperframe==6.1.0
|
| 298 |
+
hyperopt==0.3.0
|
| 299 |
+
ibis-framework==9.5.0
|
| 300 |
+
id==1.6.1
|
| 301 |
+
idna==3.19
|
| 302 |
+
igraph==1.0.0
|
| 303 |
+
ImageHash==4.3.2
|
| 304 |
+
ImageIO==2.37.4
|
| 305 |
+
imageio-ffmpeg==0.6.0
|
| 306 |
+
imagesize==2.0.1
|
| 307 |
+
imbalanced-learn==0.14.2
|
| 308 |
+
immutabledict==4.3.1
|
| 309 |
+
importlib_metadata==8.9.0
|
| 310 |
+
importlib_resources==7.1.0
|
| 311 |
+
imutils==0.5.4
|
| 312 |
+
in-toto-attestation==0.9.3
|
| 313 |
+
inequality==1.1.2
|
| 314 |
+
inflect==7.5.0
|
| 315 |
+
iniconfig==2.3.0
|
| 316 |
+
intel-cmplr-lib-ur==2025.3.3
|
| 317 |
+
intel-openmp==2025.3.3
|
| 318 |
+
interface_meta==2.0.1
|
| 319 |
+
ipyevents==2.0.4
|
| 320 |
+
ipyfilechooser==0.6.0
|
| 321 |
+
ipykernel==6.17.1
|
| 322 |
+
ipyleaflet==0.20.0
|
| 323 |
+
ipympl==0.10.0
|
| 324 |
+
ipyparallel==8.8.0
|
| 325 |
+
ipython==7.34.0
|
| 326 |
+
ipython-genutils==0.2.0
|
| 327 |
+
ipython-sql==0.5.0
|
| 328 |
+
ipython_pygments_lexers==1.1.1
|
| 329 |
+
ipywidgets==8.1.5
|
| 330 |
+
isoduration==20.11.0
|
| 331 |
+
isoweek==1.3.3
|
| 332 |
+
itsdangerous==2.2.0
|
| 333 |
+
Janome==0.5.0
|
| 334 |
+
jaraco.classes==3.4.0
|
| 335 |
+
jaraco.context==6.1.2
|
| 336 |
+
jaraco.functools==4.6.0
|
| 337 |
+
jax==0.11.1
|
| 338 |
+
jax-cuda12-pjrt==0.11.1
|
| 339 |
+
jax-cuda12-plugin==0.11.1
|
| 340 |
+
jaxlib==0.11.1
|
| 341 |
+
jedi==0.20.1
|
| 342 |
+
jeepney==0.9.0
|
| 343 |
+
jieba==0.42.1
|
| 344 |
+
Jinja2==3.1.6
|
| 345 |
+
jiter==0.10.0
|
| 346 |
+
jmespath==1.1.0
|
| 347 |
+
joblib==1.6.0
|
| 348 |
+
joserfc==1.7.5
|
| 349 |
+
json-rpc==1.15.0
|
| 350 |
+
json5==0.17.3
|
| 351 |
+
jsonpatch==1.33
|
| 352 |
+
jsonpickle==4.1.2
|
| 353 |
+
jsonpointer==3.1.1
|
| 354 |
+
jsonschema==4.26.0
|
| 355 |
+
jsonschema-specifications==2025.9.1
|
| 356 |
+
jupyter-console==6.6.3
|
| 357 |
+
jupyter-events==0.12.1
|
| 358 |
+
jupyter-leaflet==0.20.0
|
| 359 |
+
jupyter-lsp==2.3.1
|
| 360 |
+
jupyter_client==7.4.9
|
| 361 |
+
jupyter_core==5.9.1
|
| 362 |
+
jupyter_kernel_gateway @ git+https://github.com/googlecolab/kernel_gateway@b134e9945df25c2dcb98ade9129399be10788671
|
| 363 |
+
jupyter_server==2.12.5
|
| 364 |
+
jupyter_server_proxy==4.6.0
|
| 365 |
+
jupyter_server_terminals==0.5.4
|
| 366 |
+
jupyterlab==4.5.11
|
| 367 |
+
jupyterlab-lsp==5.3.0
|
| 368 |
+
jupyterlab_pygments==0.3.0
|
| 369 |
+
jupyterlab_server==2.28.1
|
| 370 |
+
jupyterlab_widgets==3.0.17
|
| 371 |
+
jupytext==1.19.5
|
| 372 |
+
kaggle==2.0.2
|
| 373 |
+
kaggle-environments==1.32.7
|
| 374 |
+
kagglehub==1.0.2
|
| 375 |
+
kagglesdk==0.1.37
|
| 376 |
+
keras==3.13.2
|
| 377 |
+
keras-core==0.1.7
|
| 378 |
+
keras-cv==0.9.0
|
| 379 |
+
keras-hub==0.26.0
|
| 380 |
+
keras-nlp==0.26.0
|
| 381 |
+
keras-tuner==1.4.8
|
| 382 |
+
keyring==25.7.0
|
| 383 |
+
keyrings.google-artifactregistry-auth==1.1.2
|
| 384 |
+
kiwisolver==1.5.1
|
| 385 |
+
kornia==0.8.3
|
| 386 |
+
kornia_rs==0.2.0
|
| 387 |
+
kt-legacy==1.0.5
|
| 388 |
+
langchain==1.3.18
|
| 389 |
+
langchain-core==1.6.1
|
| 390 |
+
langchain-protocol==0.0.19
|
| 391 |
+
langgraph==1.2.11
|
| 392 |
+
langgraph-checkpoint==4.2.0
|
| 393 |
+
langgraph-prebuilt==1.1.0
|
| 394 |
+
langgraph-sdk==0.4.4
|
| 395 |
+
langid==1.1.6
|
| 396 |
+
langsmith==0.12.1
|
| 397 |
+
lark==1.3.1
|
| 398 |
+
launchpadlib==1.11.0
|
| 399 |
+
lazr.restfulclient==0.14.6
|
| 400 |
+
lazr.uri==1.0.6
|
| 401 |
+
lazy-loader==0.5
|
| 402 |
+
learntools @ git+https://github.com/Kaggle/learntools@e9ba66dc899d3e17b80d3a1b9a5d29f430d310cb
|
| 403 |
+
libclang==18.1.1
|
| 404 |
+
libcudf-cu12==26.2.1
|
| 405 |
+
libcugraph-cu12==26.2.0
|
| 406 |
+
libcuml-cu12==26.2.0
|
| 407 |
+
libcuvs-cu12==26.2.0
|
| 408 |
+
libkvikio-cu12==26.2.0
|
| 409 |
+
libpysal==4.14.1
|
| 410 |
+
libraft-cu12==26.2.0
|
| 411 |
+
librmm-cu12==26.2.0
|
| 412 |
+
librosa==0.11.0
|
| 413 |
+
libucx-cu12==1.19.0
|
| 414 |
+
libucxx-cu12==0.48.0
|
| 415 |
+
lightgbm==4.6.0
|
| 416 |
+
lightning-utilities==0.15.3
|
| 417 |
+
lime==0.2.0.1
|
| 418 |
+
line_profiler==5.1.0
|
| 419 |
+
linkify-it-py==2.2.0
|
| 420 |
+
litellm==1.93.2
|
| 421 |
+
llvmlite==0.44.0
|
| 422 |
+
lml==0.2.0
|
| 423 |
+
locket==1.0.0
|
| 424 |
+
logical-unification==0.4.7
|
| 425 |
+
lxml==6.1.2
|
| 426 |
+
Mako==1.4.3
|
| 427 |
+
mamba==0.11.3
|
| 428 |
+
mapclassify==2.10.0
|
| 429 |
+
Markdown==3.10.3
|
| 430 |
+
markdown-it-py==4.2.0
|
| 431 |
+
MarkupSafe==3.0.3
|
| 432 |
+
marshmallow==3.26.2
|
| 433 |
+
matplotlib==3.10.0
|
| 434 |
+
matplotlib-inline==0.2.2
|
| 435 |
+
matplotlib-venn==1.1.2
|
| 436 |
+
mdit-py-plugins==0.6.1
|
| 437 |
+
mdurl==0.1.2
|
| 438 |
+
mgwr==2.2.1
|
| 439 |
+
minify_html==0.18.1
|
| 440 |
+
miniKanren==1.0.5
|
| 441 |
+
missingno==0.5.2
|
| 442 |
+
mistune==0.8.4
|
| 443 |
+
mizani==0.13.5
|
| 444 |
+
mkl==2025.3.1
|
| 445 |
+
ml_collections==1.1.0
|
| 446 |
+
ml_dtypes==0.6.0
|
| 447 |
+
mlcrate==0.2.0
|
| 448 |
+
mlxtend==0.23.4
|
| 449 |
+
mmh3==5.3.0
|
| 450 |
+
mne==1.13.2
|
| 451 |
+
model-signing==1.1.1
|
| 452 |
+
momepy==0.11.0
|
| 453 |
+
moocore==0.3.2
|
| 454 |
+
more-itertools==10.8.0
|
| 455 |
+
moviepy==1.0.3
|
| 456 |
+
mpld3==0.5.12
|
| 457 |
+
mpmath==1.3.0
|
| 458 |
+
msgpack==1.2.2
|
| 459 |
+
multidict==6.7.1
|
| 460 |
+
multimethod==1.12
|
| 461 |
+
multipledispatch==1.0.0
|
| 462 |
+
multiprocess==0.70.19
|
| 463 |
+
multitasking==0.0.13
|
| 464 |
+
murmurhash==1.0.15
|
| 465 |
+
music21==9.9.2
|
| 466 |
+
mypy_extensions==1.1.0
|
| 467 |
+
namex==0.1.0
|
| 468 |
+
narwhals==2.25.0
|
| 469 |
+
natsort==8.4.0
|
| 470 |
+
nbclassic==1.3.3
|
| 471 |
+
nbclient==0.5.13
|
| 472 |
+
nbconvert==6.4.5
|
| 473 |
+
nbdev==3.3.25
|
| 474 |
+
nbformat==5.11.1
|
| 475 |
+
ndindex==1.10.1
|
| 476 |
+
nest-asyncio==1.6.0
|
| 477 |
+
networkx==3.6.1
|
| 478 |
+
nh3==0.3.7
|
| 479 |
+
nibabel==5.4.2
|
| 480 |
+
nilearn==0.14.1
|
| 481 |
+
ninja==1.13.2
|
| 482 |
+
nltk==3.9.1
|
| 483 |
+
notebook==6.5.7
|
| 484 |
+
notebook_shim==0.2.4
|
| 485 |
+
numba==0.61.2
|
| 486 |
+
numba-cuda==0.22.2
|
| 487 |
+
numexpr==2.14.2
|
| 488 |
+
numpy==2.1.3
|
| 489 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 490 |
+
nvidia-cuda-cccl-cu12==12.9.27
|
| 491 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 492 |
+
nvidia-cuda-nvcc-cu12==12.8.93
|
| 493 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 494 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 495 |
+
nvidia-cudnn-cu12==9.19.0.56
|
| 496 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 497 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 498 |
+
nvidia-curand-cu12==10.3.9.90
|
| 499 |
+
nvidia-cusolver-cu12==11.7.3.90
|
| 500 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 501 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 502 |
+
nvidia-libnvcomp-cu12==5.1.0.21
|
| 503 |
+
nvidia-ml-py==13.610.43
|
| 504 |
+
nvidia-nccl-cu12==2.28.9
|
| 505 |
+
nvidia-nccl-cu13==2.31.2
|
| 506 |
+
nvidia-nvimgcodec-cu12==0.7.0.11
|
| 507 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 508 |
+
nvidia-nvshmem-cu12==3.4.5
|
| 509 |
+
nvidia-nvtx-cu12==12.8.90
|
| 510 |
+
nvtx==0.2.16
|
| 511 |
+
nx-cugraph-cu12 @ https://pypi.nvidia.com/nx-cugraph-cu12/nx_cugraph_cu12-26.2.0-py3-none-any.whl
|
| 512 |
+
oauth2client==4.1.3
|
| 513 |
+
oauthlib==3.3.1
|
| 514 |
+
odfpy==1.4.1
|
| 515 |
+
olefile==0.47
|
| 516 |
+
omegaconf==2.3.1
|
| 517 |
+
onemkl-license==2025.3.1
|
| 518 |
+
onnx==1.22.0
|
| 519 |
+
open-spiel==2.0.1
|
| 520 |
+
openai==2.54.0
|
| 521 |
+
opencv-contrib-python==4.14.0.94
|
| 522 |
+
opencv-python==4.14.0.94
|
| 523 |
+
opencv-python-headless==4.14.0.94
|
| 524 |
+
openpyxl==3.1.5
|
| 525 |
+
openslide-bin==4.0.1.2
|
| 526 |
+
openslide-python==1.4.6
|
| 527 |
+
opentelemetry-api==1.42.1
|
| 528 |
+
opentelemetry-resourcedetector-gcp==1.14.0
|
| 529 |
+
opentelemetry-sdk==1.42.1
|
| 530 |
+
opentelemetry-semantic-conventions==0.63b1
|
| 531 |
+
opt_einsum==3.4.0
|
| 532 |
+
optax==0.2.8
|
| 533 |
+
optree==0.20.0
|
| 534 |
+
optuna==5.0.0
|
| 535 |
+
orbax-checkpoint==0.12.4
|
| 536 |
+
orderly-set==5.5.0
|
| 537 |
+
orjson==3.12.0
|
| 538 |
+
ormsgpack==1.12.2
|
| 539 |
+
osqp==1.1.3
|
| 540 |
+
overrides==7.7.0
|
| 541 |
+
packaging==26.3
|
| 542 |
+
pandas==2.3.3
|
| 543 |
+
pandas-datareader==0.11.1
|
| 544 |
+
pandas-gbq==0.30.0
|
| 545 |
+
pandas-profiling==3.6.6
|
| 546 |
+
pandas-stubs==2.2.3.250527
|
| 547 |
+
pandasql==0.7.3
|
| 548 |
+
pandocfilters==1.5.1
|
| 549 |
+
panel==1.9.4
|
| 550 |
+
panel-material-ui==0.14.2
|
| 551 |
+
papermill==2.7.0
|
| 552 |
+
param==2.4.1
|
| 553 |
+
parso==0.8.7
|
| 554 |
+
parsy==2.2
|
| 555 |
+
partd==1.4.2
|
| 556 |
+
path==17.1.1
|
| 557 |
+
path.py==12.5.0
|
| 558 |
+
pathlib_abc==0.5.2
|
| 559 |
+
pathos==0.3.5
|
| 560 |
+
pathspec==1.1.1
|
| 561 |
+
patsy==1.0.3
|
| 562 |
+
pdf2image==1.17.0
|
| 563 |
+
peewee==4.4.0
|
| 564 |
+
peft==0.20.0
|
| 565 |
+
pettingzoo==1.24.0
|
| 566 |
+
pexpect==4.9.0
|
| 567 |
+
phik==0.12.5
|
| 568 |
+
pickleshare==0.7.5
|
| 569 |
+
pillow==13.0.0
|
| 570 |
+
platformdirs==4.11.7
|
| 571 |
+
plotly==5.24.1
|
| 572 |
+
plotly-express==0.4.1
|
| 573 |
+
plotnine==0.14.5
|
| 574 |
+
pluggy==1.6.0
|
| 575 |
+
plum-dispatch==2.9.0
|
| 576 |
+
pointpats==2.5.5
|
| 577 |
+
pokerkit==0.6.3
|
| 578 |
+
polars==1.35.2
|
| 579 |
+
polars-runtime-32==1.35.2
|
| 580 |
+
pooch==1.9.0
|
| 581 |
+
portpicker==1.5.2
|
| 582 |
+
POT==0.9.7.post1
|
| 583 |
+
pox==0.3.7
|
| 584 |
+
ppft==1.7.8
|
| 585 |
+
preshed==3.0.13
|
| 586 |
+
prettytable==3.18.0
|
| 587 |
+
proglog==0.1.12
|
| 588 |
+
progressbar2==4.5.0
|
| 589 |
+
prometheus_client==0.26.0
|
| 590 |
+
promise==2.3
|
| 591 |
+
prompt_toolkit==3.0.53
|
| 592 |
+
propcache==0.5.2
|
| 593 |
+
prophet==1.4.0
|
| 594 |
+
proto-plus==1.28.2
|
| 595 |
+
protobuf==5.29.5
|
| 596 |
+
psutil==5.9.5
|
| 597 |
+
psycopg2==2.9.12
|
| 598 |
+
psygnal==0.15.1
|
| 599 |
+
ptyprocess==0.7.0
|
| 600 |
+
pudb==2026.1
|
| 601 |
+
PuLP==3.3.2
|
| 602 |
+
puremagic==2.2.0
|
| 603 |
+
py-cpuinfo==9.0.0
|
| 604 |
+
py4j==0.10.9.9
|
| 605 |
+
pyaml==26.7.0
|
| 606 |
+
PyArabic==0.6.15
|
| 607 |
+
pyarrow==23.0.1
|
| 608 |
+
pyasn1==0.6.4
|
| 609 |
+
pyasn1_modules==0.4.2
|
| 610 |
+
pybind11==3.1.0
|
| 611 |
+
pycairo==1.29.1
|
| 612 |
+
pyclipper==1.4.0
|
| 613 |
+
pycocotools==2.0.11
|
| 614 |
+
pycparser==3.0
|
| 615 |
+
pycryptodome==4.1.0
|
| 616 |
+
pycryptodomex==3.23.0
|
| 617 |
+
pycuda==2026.1
|
| 618 |
+
pydantic==2.13.5
|
| 619 |
+
pydantic_core==2.46.5
|
| 620 |
+
pydata-google-auth==1.9.1
|
| 621 |
+
pydicom==3.0.2
|
| 622 |
+
pydot==4.0.1
|
| 623 |
+
pydotplus==2.0.2
|
| 624 |
+
PyDrive2==1.21.1
|
| 625 |
+
pydub==0.25.1
|
| 626 |
+
pyemd==2.0.0
|
| 627 |
+
pyerfa==2.0.1.5
|
| 628 |
+
pyexcel-io==0.6.8
|
| 629 |
+
pyexcel-ods==0.6.0
|
| 630 |
+
pygame==2.6.1
|
| 631 |
+
pygit2==1.20.0
|
| 632 |
+
pygltflib==1.16.5
|
| 633 |
+
Pygments==2.21.0
|
| 634 |
+
PyGObject==3.48.2
|
| 635 |
+
pyiceberg==0.12.0
|
| 636 |
+
pyjson5==2.0.1
|
| 637 |
+
PyJWT==2.13.0
|
| 638 |
+
pyLDAvis==3.4.1
|
| 639 |
+
pylibcudf-cu12==26.2.1
|
| 640 |
+
pylibcugraph-cu12==26.2.0
|
| 641 |
+
pylibraft-cu12==26.2.0
|
| 642 |
+
pymc==5.28.5
|
| 643 |
+
pymongo==4.19.0
|
| 644 |
+
Pympler==1.1
|
| 645 |
+
pynndescent==0.6.0
|
| 646 |
+
pyogrio==0.13.0
|
| 647 |
+
pyomo==6.10.1
|
| 648 |
+
PyOpenGL==3.1.10
|
| 649 |
+
pyOpenSSL==26.4.0
|
| 650 |
+
pyparsing==3.3.2
|
| 651 |
+
pypdf==6.21.2
|
| 652 |
+
pyperclip==1.11.0
|
| 653 |
+
pyproj==3.7.2
|
| 654 |
+
pyproject_hooks==1.3.3
|
| 655 |
+
pyroaring==1.1.0
|
| 656 |
+
pysal==25.7
|
| 657 |
+
pyshp==3.1.6
|
| 658 |
+
PySocks==1.7.1
|
| 659 |
+
pyspark==4.0.4
|
| 660 |
+
pytensor==2.38.3
|
| 661 |
+
pytesseract==0.3.13
|
| 662 |
+
pytest==8.4.2
|
| 663 |
+
python-apt==0.0.0
|
| 664 |
+
python-bidi==0.6.12
|
| 665 |
+
python-box==7.4.1
|
| 666 |
+
python-dateutil==2.9.0.post0
|
| 667 |
+
python-dotenv==1.2.3
|
| 668 |
+
python-fasthtml==0.14.12
|
| 669 |
+
python-json-logger==4.2.0
|
| 670 |
+
python-louvain==0.16
|
| 671 |
+
python-lsp-jsonrpc==1.1.2
|
| 672 |
+
python-lsp-server==1.15.0
|
| 673 |
+
python-multipart==0.0.32
|
| 674 |
+
python-slugify==8.0.4
|
| 675 |
+
python-snappy==0.7.3
|
| 676 |
+
python-utils==4.0.1
|
| 677 |
+
pytokens==0.4.1
|
| 678 |
+
pytools==2026.1.1
|
| 679 |
+
pytorch-ignite==0.5.5
|
| 680 |
+
pytorch-lightning==2.6.6
|
| 681 |
+
pytz==2025.2
|
| 682 |
+
PyUpSet==0.1.1.post7
|
| 683 |
+
pyviz_comms==3.0.6
|
| 684 |
+
PyWavelets==1.9.0
|
| 685 |
+
PyYAML==6.0.3
|
| 686 |
+
pyzmq==26.2.1
|
| 687 |
+
qgrid==1.3.1
|
| 688 |
+
qtconsole==5.7.2
|
| 689 |
+
QtPy==2.4.3
|
| 690 |
+
quantecon==0.11.4
|
| 691 |
+
raft-dask-cu12==26.2.0
|
| 692 |
+
rapids-dask-dependency==26.2.0
|
| 693 |
+
rapids-logger==0.2.3
|
| 694 |
+
rasterio==1.5.1
|
| 695 |
+
rasterstats==0.21.0
|
| 696 |
+
ratelim==0.1.6
|
| 697 |
+
ray==2.59.0
|
| 698 |
+
referencing==0.37.0
|
| 699 |
+
regex==2025.11.3
|
| 700 |
+
requests==2.34.2
|
| 701 |
+
requests-oauthlib==2.0.0
|
| 702 |
+
requests-toolbelt==1.0.0
|
| 703 |
+
requirements-parser==0.9.0
|
| 704 |
+
rfc3161-client==1.0.9
|
| 705 |
+
rfc3339-validator==0.1.4
|
| 706 |
+
rfc3986-validator==0.1.1
|
| 707 |
+
rfc3987-syntax==1.1.0
|
| 708 |
+
rfc8785==0.1.4
|
| 709 |
+
rgf-python==3.12.0
|
| 710 |
+
rich==13.9.4
|
| 711 |
+
rmm-cu12==26.2.0
|
| 712 |
+
roman-numerals==4.1.0
|
| 713 |
+
roman-numerals-py==4.1.0
|
| 714 |
+
rouge_score==0.1.2
|
| 715 |
+
rpds-py==2026.6.3
|
| 716 |
+
rpy2==3.5.17
|
| 717 |
+
rsa==4.9.1
|
| 718 |
+
rtree==1.4.1
|
| 719 |
+
ruamel.yaml==0.19.1
|
| 720 |
+
s3fs==2025.12.0
|
| 721 |
+
s3transfer==0.15.0
|
| 722 |
+
safehttpx==0.1.7
|
| 723 |
+
safetensors==0.8.0
|
| 724 |
+
scikit-image==0.25.2
|
| 725 |
+
scikit-learn==1.6.1
|
| 726 |
+
scikit-multilearn==0.2.0
|
| 727 |
+
scikit-optimize==0.10.2
|
| 728 |
+
scikit-plot==0.3.7
|
| 729 |
+
scikit-surprise==1.1.5
|
| 730 |
+
scipy==1.16.3
|
| 731 |
+
scooby==0.11.2
|
| 732 |
+
scs==3.2.11
|
| 733 |
+
seaborn==0.13.2
|
| 734 |
+
SecretStorage==3.5.0
|
| 735 |
+
securesystemslib==1.6.0
|
| 736 |
+
segment_anything @ git+https://github.com/facebookresearch/segment-anything.git@dca509fe793f601edb92606367a655c15ac00fdf
|
| 737 |
+
segregation==2.5.4
|
| 738 |
+
semantic-version==2.10.0
|
| 739 |
+
Send2Trash==2.1.0
|
| 740 |
+
sentence-transformers==5.7.0
|
| 741 |
+
sentencepiece==0.2.2
|
| 742 |
+
sentry-sdk==2.68.1
|
| 743 |
+
setuptools==81.0.0
|
| 744 |
+
shap==0.52.0
|
| 745 |
+
shapely==2.1.2
|
| 746 |
+
shellingham==1.5.4
|
| 747 |
+
Shimmy==2.0.1
|
| 748 |
+
sigstore==4.5.1
|
| 749 |
+
sigstore-models==0.0.6
|
| 750 |
+
sigstore-rekor-types==0.0.18
|
| 751 |
+
simpervisor==1.0.0
|
| 752 |
+
simple-parsing==0.1.9
|
| 753 |
+
simpleitk==2.5.6
|
| 754 |
+
simplejson==4.1.2
|
| 755 |
+
simsimd==6.5.16
|
| 756 |
+
siphash24==1.9
|
| 757 |
+
six==1.17.0
|
| 758 |
+
sklearn-compat==0.1.6
|
| 759 |
+
sklearn-pandas==2.2.0
|
| 760 |
+
slicer==0.0.8
|
| 761 |
+
smart_open==8.0.1
|
| 762 |
+
sniffio==1.3.1
|
| 763 |
+
snowballstemmer==3.1.1
|
| 764 |
+
sortedcontainers==2.4.0
|
| 765 |
+
soundfile==0.14.0
|
| 766 |
+
soupsieve==2.9.2
|
| 767 |
+
soxr==1.1.0
|
| 768 |
+
spacy==3.8.16
|
| 769 |
+
spacy-legacy==3.0.12
|
| 770 |
+
spacy-loggers==1.0.5
|
| 771 |
+
spaghetti==1.7.6
|
| 772 |
+
spanner-graph-notebook==1.1.10
|
| 773 |
+
spglm==1.1.0
|
| 774 |
+
Sphinx==8.2.3
|
| 775 |
+
sphinxcontrib-applehelp==2.0.0
|
| 776 |
+
sphinxcontrib-devhelp==2.0.0
|
| 777 |
+
sphinxcontrib-htmlhelp==2.1.0
|
| 778 |
+
sphinxcontrib-jsmath==1.0.1
|
| 779 |
+
sphinxcontrib-qthelp==2.0.0
|
| 780 |
+
sphinxcontrib-serializinghtml==2.0.0
|
| 781 |
+
spint==1.1.0
|
| 782 |
+
splot==1.1.7
|
| 783 |
+
spopt==0.7.0
|
| 784 |
+
spreg==1.9.0
|
| 785 |
+
SQLAlchemy==2.0.52
|
| 786 |
+
sqlglot==25.20.2
|
| 787 |
+
sqlparse==0.6.0
|
| 788 |
+
squarify==0.4.5
|
| 789 |
+
srsly==2.5.3
|
| 790 |
+
standard-aifc==3.13.0
|
| 791 |
+
standard-chunk==3.13.0
|
| 792 |
+
standard-sunau==3.13.0
|
| 793 |
+
stanio==0.5.1
|
| 794 |
+
starlette==1.6.0
|
| 795 |
+
statsmodels==0.15.0
|
| 796 |
+
stopit==1.1.2
|
| 797 |
+
strictyaml==1.7.3
|
| 798 |
+
stringzilla==5.1.2
|
| 799 |
+
stumpy==1.14.1
|
| 800 |
+
sympy==1.14.0
|
| 801 |
+
tables==3.10.2
|
| 802 |
+
tabulate==0.9.0
|
| 803 |
+
tbb==2022.3.1
|
| 804 |
+
tblib==3.2.2
|
| 805 |
+
tcmlib==1.5.0
|
| 806 |
+
tenacity==9.1.4
|
| 807 |
+
tensorboard==2.20.0
|
| 808 |
+
tensorboard-data-server==0.7.2
|
| 809 |
+
tensorflow==2.20.0
|
| 810 |
+
tensorflow-datasets==4.9.10
|
| 811 |
+
tensorflow-hub==0.16.1
|
| 812 |
+
tensorflow-metadata==1.21.0
|
| 813 |
+
tensorflow-probability==0.25.0
|
| 814 |
+
tensorflow-text==2.20.1
|
| 815 |
+
tensorstore==0.1.85
|
| 816 |
+
termcolor==3.3.0
|
| 817 |
+
terminado==0.18.1
|
| 818 |
+
testpath==0.6.0
|
| 819 |
+
text-unidecode==1.3
|
| 820 |
+
textblob==0.19.0
|
| 821 |
+
texttable==1.7.2
|
| 822 |
+
tf-slim==1.1.0
|
| 823 |
+
tf_keras==2.20.1
|
| 824 |
+
thinc==8.3.13
|
| 825 |
+
threadpoolctl==3.6.0
|
| 826 |
+
tifffile==2026.8.23
|
| 827 |
+
tiktoken==0.14.0
|
| 828 |
+
timm==1.0.29
|
| 829 |
+
tinycss2==1.5.1
|
| 830 |
+
tobler==0.14.0
|
| 831 |
+
tokenizers==0.23.1
|
| 832 |
+
toml==0.10.2
|
| 833 |
+
tomlkit==0.14.0
|
| 834 |
+
toolz==0.12.1
|
| 835 |
+
torch==2.11.0+cu128
|
| 836 |
+
torchao==0.10.0
|
| 837 |
+
torchaudio==2.11.0+cu128
|
| 838 |
+
torchcodec==0.11.0+cu128
|
| 839 |
+
torchdata==0.11.0
|
| 840 |
+
torchinfo==1.8.0
|
| 841 |
+
torchmetrics==1.9.0
|
| 842 |
+
torchsummary==1.5.1
|
| 843 |
+
torchtune==0.6.1
|
| 844 |
+
torchvision==0.26.0+cu128
|
| 845 |
+
tornado==6.5.7
|
| 846 |
+
TPOT==1.1.0
|
| 847 |
+
tqdm==4.67.3
|
| 848 |
+
traitlets==5.16.1
|
| 849 |
+
traittypes==0.2.3
|
| 850 |
+
transformers==5.16.1
|
| 851 |
+
treelite==4.7.1
|
| 852 |
+
treescope==0.1.10
|
| 853 |
+
triton==3.6.0
|
| 854 |
+
truststore==0.10.4
|
| 855 |
+
trx-python==0.6
|
| 856 |
+
tsfresh==0.21.2
|
| 857 |
+
tuf==7.0.1
|
| 858 |
+
tweepy==4.17.0
|
| 859 |
+
typeguard==4.6.0
|
| 860 |
+
typer==0.27.2
|
| 861 |
+
types-pytz==2026.3.1.20260727
|
| 862 |
+
types-setuptools==84.0.0.20260812
|
| 863 |
+
typing-inspect==0.9.0
|
| 864 |
+
typing-inspection==0.4.4
|
| 865 |
+
typing_extensions==4.16.0
|
| 866 |
+
tzdata==2026.3
|
| 867 |
+
tzlocal==5.4.4
|
| 868 |
+
ucxx-cu12==0.48.0
|
| 869 |
+
ujson==6.0.0
|
| 870 |
+
umap-learn==0.5.12
|
| 871 |
+
umf==1.0.3
|
| 872 |
+
universal_pathlib==0.3.10
|
| 873 |
+
update_checker==1.0.1
|
| 874 |
+
uri-template==1.3.0
|
| 875 |
+
uritemplate==4.2.0
|
| 876 |
+
urllib3==2.8.0
|
| 877 |
+
urwid==4.2.5
|
| 878 |
+
urwid_readline==0.15.1
|
| 879 |
+
uuid_utils==0.17.0
|
| 880 |
+
uv==0.13.5
|
| 881 |
+
uvicorn==0.52.4
|
| 882 |
+
uvloop==0.22.1
|
| 883 |
+
vega-datasets==0.9.0
|
| 884 |
+
visions==0.8.1
|
| 885 |
+
vtk==9.7.1
|
| 886 |
+
wadllib==1.3.6
|
| 887 |
+
Wand==0.7.2
|
| 888 |
+
wandb==0.28.1
|
| 889 |
+
wasabi==1.1.3
|
| 890 |
+
watchdog==6.0.0
|
| 891 |
+
watchfiles==1.2.0
|
| 892 |
+
wavio==0.0.9
|
| 893 |
+
wcwidth==0.8.3
|
| 894 |
+
weasel==1.0.0
|
| 895 |
+
webcolors==25.10.0
|
| 896 |
+
webencodings==0.6.1
|
| 897 |
+
websocket-client==1.9.2
|
| 898 |
+
websockets==15.0.1
|
| 899 |
+
Werkzeug==3.1.8
|
| 900 |
+
wheel==0.48.0
|
| 901 |
+
widgetsnbextension==4.0.16
|
| 902 |
+
woodwork==0.31.0
|
| 903 |
+
wordcloud==1.9.6
|
| 904 |
+
wrapt==1.17.3
|
| 905 |
+
xarray==2025.12.0
|
| 906 |
+
xarray-einstats==0.11.0
|
| 907 |
+
xgboost==3.4.1
|
| 908 |
+
xlrd==2.0.2
|
| 909 |
+
xvfbwrapper==0.2.35
|
| 910 |
+
xxhash==4.0.1
|
| 911 |
+
xyzservices==2026.3.0
|
| 912 |
+
yarl==1.24.5
|
| 913 |
+
ydata-profiling==4.18.4
|
| 914 |
+
ydf==0.15.0
|
| 915 |
+
ydf_tf==2.20.0
|
| 916 |
+
yellowbrick==1.5
|
| 917 |
+
yfinance==0.2.66
|
| 918 |
+
zict==3.0.0
|
| 919 |
+
zipp==4.1.0
|
| 920 |
+
zstandard==0.25.0
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/calibration_curve.pdf
ADDED
|
Binary file (13.1 kB). View file
|
|
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/calibration_curve.png
ADDED
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/confusion_matrix.pdf
ADDED
|
Binary file (20.6 kB). View file
|
|
|
experiments/EXP_157_davidnet-qacp_scaled_s123/{checkpoints/step-0002584/training_state.pt → figures/confusion_matrix.png}
RENAMED
|
File without changes
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/learning_rate.pdf
ADDED
|
Binary file (9.83 kB). View file
|
|
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/learning_rate.png
ADDED
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/per_class_performance.pdf
ADDED
|
Binary file (10.1 kB). View file
|
|
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/per_class_performance.png
ADDED
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/per_generator.pdf
ADDED
|
Binary file (12.4 kB). View file
|
|
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/per_generator.png
ADDED
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/precision_recall_curve.pdf
ADDED
|
Binary file (13.4 kB). View file
|
|
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/precision_recall_curve.png
ADDED
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/roc_curve.pdf
ADDED
|
Binary file (13.5 kB). View file
|
|
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/roc_curve.png
ADDED
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/score_distribution.pdf
ADDED
|
Binary file (13.2 kB). View file
|
|
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/score_distribution.png
ADDED
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/training_loss.pdf
ADDED
|
Binary file (10.3 kB). View file
|
|
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/training_loss.png
ADDED
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/validation_metrics.pdf
ADDED
|
Binary file (14.1 kB). View file
|
|
|
experiments/EXP_157_davidnet-qacp_scaled_s123/figures/validation_metrics.png
ADDED
|
experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/classification_report.csv
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
class,precision,recall,f1,support
|
| 2 |
+
RVRA,0.8617021276595744,0.81,0.8350515463917526,100.0
|
| 3 |
+
RVFA,0.8857142857142857,0.93,0.9073170731707317,100.0
|
| 4 |
+
FVRA,0.9400479616306955,0.9679012345679012,0.9537712895377128,405.0
|
| 5 |
+
FVFA,0.9757085020242915,0.9341085271317829,0.9544554455445544,258.0
|
| 6 |
+
macro avg,,,0.912648838661188,
|
| 7 |
+
weighted avg,,,0.9348363142172854,
|
| 8 |
+
accuracy,,,0.9351100811123986,
|
experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/confusion_matrix.csv
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
,0,1,2,3
|
| 2 |
+
RVRA,81,0,19,0
|
| 3 |
+
RVFA,1,93,1,5
|
| 4 |
+
FVRA,12,0,392,1
|
| 5 |
+
FVFA,0,12,5,241
|
experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/cross_dataset_metrics.json
ADDED
|
@@ -0,0 +1,813 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
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|
|
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|
|
|
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|
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|
|
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|
|
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|
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| 1 |
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experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/fairness.csv
ADDED
|
@@ -0,0 +1,15 @@
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|
|
| 1 |
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attribute,task,group,n,n_fake,detection_rate,mean_score,auc
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| 2 |
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race,video,African,155,115,0.9739130434782609,0.7586392417309745,0.9920652173913044
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race,video,Asian (East),160,120,0.95,0.7881473476765677,0.9425
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race,video,Asian (South),185,145,0.9379310344827586,0.7538021927951155,0.9922413793103448
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race,video,Caucasian (American),192,152,0.9539473684210527,0.7815505634644069,0.9776315789473684
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race,video,Caucasian (European),171,131,0.9541984732824428,0.7575927917241004,0.9853053435114504
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race,audio,African,155,67,0.9850746268656716,0.43066728070618643,1.0
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race,audio,Asian (East),160,65,0.9230769230769231,0.39704421669011936,0.9996761133603238
|
| 9 |
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race,audio,Asian (South),185,79,1.0,0.430879093855116,1.0
|
| 10 |
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race,audio,Caucasian (American),192,75,0.9866666666666667,0.3910984470324668,1.0
|
| 11 |
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race,audio,Caucasian (European),171,72,0.9861111111111112,0.43081432880496073,0.9997194163860831
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| 12 |
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gender,video,men,445,345,0.9478260869565217,0.7713171481123466,0.9817391304347827
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gender,video,women,418,318,0.9591194968553459,0.7643923646498596,0.9694182389937107
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gender,audio,men,445,190,0.9894736842105263,0.4331631887364044,0.9998968008255934
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| 15 |
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gender,audio,women,418,168,0.9642857142857143,0.39711882442884305,0.9999523809523809
|
experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/per_class_metrics.csv
ADDED
|
@@ -0,0 +1,5 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
class,precision,recall,f1,support
|
| 2 |
+
RVRA,0.8617021276595744,0.81,0.8350515463917526,100
|
| 3 |
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RVFA,0.8857142857142857,0.93,0.9073170731707317,100
|
| 4 |
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FVRA,0.9400479616306955,0.9679012345679012,0.9537712895377128,405
|
| 5 |
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FVFA,0.9757085020242915,0.9341085271317829,0.9544554455445544,258
|
experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/per_generator.csv
ADDED
|
@@ -0,0 +1,8 @@
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
group,n,n_fake,detection_rate,mean_score,auc_vs_reals
|
| 2 |
+
faceswap,83,83,0.891566265060241,0.8980281798236341,0.927289156626506
|
| 3 |
+
faceswap-wav2lip,60,60,1.0,0.9941109925508499,0.9998333333333334
|
| 4 |
+
fsgan,152,152,0.9671052631578947,0.9606439859459275,0.9758223684210526
|
| 5 |
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fsgan-wav2lip,25,25,1.0,0.9936619687080384,1.0
|
| 6 |
+
real,100,0,,0.2689124220609665,
|
| 7 |
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rtvc,100,100,0.99,0.9856437075138093,0.9954999999999999
|
| 8 |
+
wav2lip,343,343,0.9795918367346939,0.9758668216949997,0.9859912536443148
|
experiments/EXP_157_davidnet-qacp_scaled_s123/metrics/summary.json
ADDED
|
@@ -0,0 +1,1235 @@
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experiments/EXP_157_davidnet-qacp_scaled_s123/predictions/cross_asvspoof2019-la.csv
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