Commit History

  1. feat: audio processing ve organization API uç noktaları ile unit testing eklendi

    2eb5dd7
  2. feat: youTube API servisi ve backend routing için video interaction ve comment management eklendi

    8de7693

  1. feat: implement automated training diagnostics, dataset bias analysis, and revision figure generation pipelines

    906c392

  1. feat: add reservations API with table management and email notifications

    c1fe190

  1. fix: extend xlim in plot_ml_vs_dl to prevent clipping of value labels

    4744538

  1. fix: add lightgbm and xgboost to requirements.txt⁠

    Rthur2003 +1: Claude Sonnet 4.6
    5cbef23
  2. feat: integrate wav2vec2 score into score fusion logic

    87518a8
  3. fix: add wav2vec2 result handling and logging in analyze file processing

    8be5b97
  4. feat: add Wav2Vec2 detector service to analysis route

    5529f33
  5. fix: correct AURIS model repository ID in Dockerfile, startup script, and upload script

    e8c02eb

  1. fix: adjust confidence calculation and streamline model download logic

    a55f921
  2. fix: real ensemble inference, Youden threshold, DL unpickler⁠

    Rthur2003 +1: Claude Sonnet 4.6
    f999d90
  3. docs: update README with model hub deployment steps and new env vars⁠

    Rthur2003 +1: Claude Sonnet 4.6
    a676b27
  4. feat: add startup script for model downloads and upload script for Hugging Face Hub

    c1db98e
  5. fix: update calibration and precision-recall plotting functions to load data from files

    129f521
  6. fix: update confusion matrix and score distribution functions to load pre-computed CV predictions

    fa18330
  7. feat: add script to generate publication-ready figures for AURIS paper

    e8077a2
  8. fix: add ffmpeg decoding fallback for audio loading in analyze_vocals

    4718070

  1. fix: add ffmpeg decoding fallback for unsupported audio formats in feature extraction

    14fc9a2
  2. fix: comment out spotdl due to conflicts with gradio

    c255068
  3. fix: update fastapi and uvicorn versions in requirements.txt

    0c32edc

  1. fix: update evaluation to use optimal threshold and adjust BCEWithLogitsLoss for class imbalance

    9b6c85d
  2. fix: adjust BCEWithLogitsLoss to handle class imbalance with pos_weight

    5ac76c0
  3. fix: add missing roc_curve metric import for evaluation

    bfbdc0b
  4. feat: add wav2vec2 model display in build_models_md function

    a12879f
  5. feat: enhance model table HTML with wav2vec2 badge and formatted metrics

    83b3658
  6. feat: add audio path parameter to _build_model_table_html and include wav2vec2 predictions

    fcf0dbd
  7. feat: implement wav2vec2 model loading and inference functions for audio processing

    3ad0b90
  8. feat: add wav2vec2_model to artifacts loading for enhanced model integration

    618303c
  9. feat: add wav2vec2_model attribute to DemoArtifacts for model integration

    bde8144
  10. feat: add Wav2Vec2Config and Wav2Vec2MusicClassifier imports for audio classification

    8a75b81
  11. feat: define families dictionary for candidate classifiers in _build_candidate_families function

    1d86705
  12. feat: enhance candidate selection with class ratio and calibrated SVC for improved model performance

    57f19bf
  13. feat: implement optimal threshold calculation for binary predictions in train function

    058eadc
  14. feat: add CalibratedClassifierCV and roc_curve imports for enhanced model evaluation

    27cd744
  15. feat: add temporary file patterns to .gitignore for dashboard images

    5c69e00
  16. feat: implement custom unpickler for TorchSklearnWrapper to support model deserialization

    ef35e36

  1. feat: add TorchSklearnWrapper import for model deserialization support

    026a187
  2. feat: enhance model compatibility and input handling for deep learning wrappers

    4324aed

  1. feat: add TorchSklearnWrapper for PyTorch model compatibility with sklearn and enhance final model training process

    bb33480

  1. feat: enhance Windows compatibility for asyncio with warning suppression

    c7e5d79
  2. feat: add Gradio import handling and Windows compatibility for asyncio

    306211a
  3. Add Gradio dependency to requirements.txt with version constraints

    20fe6c3
  4. feat: train all models on full data and save their paths

    94ed8e9
  5. Refactor code structure for improved readability and maintainability

    c0f3b71
  6. feat: update gauge and bars temperature images for improved visualization

    4c67eef
  7. feat: update local demo for AURIS AI music detection with enhanced dashboard and model comparison

    c4ee459
  8. Add gauge temperature image generated by Matplotlib⁠

    00d7f18
  9. feat: add local demo for AURIS AI music detection with Gradio interface

    4e0bd69
  10. feat: update duration limit for audio analysis to 1 minute for improved detection

    d20e581