1.11 GB

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2 contributors

History: 23 commits

embedologist

Merge Hugging Face repository state into main

45f827b 5 days ago

android_export
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
coreml_export
feat(wearos): add Samsung Galaxy Watch 4 streaming support, 14 bug fixes, and clinical benchmarks 14 days ago
litert_export
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
static
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
.gitattributes

283 Bytes
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
.gitignore

335 Bytes
Update model card and documentation for litert-community release 20 days ago
DOCUMENTATION.md

57.2 kB
feat(wearos): add Samsung Galaxy Watch 4 streaming support, 14 bug fixes, and clinical benchmarks 14 days ago
README.md

18.5 kB
feat(wearos): add Samsung Galaxy Watch 4 streaming support, 14 bug fixes, and clinical benchmarks 14 days ago
app.py

73.9 kB
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
benchmark_accuracy_and_audit.py

20.4 kB
feat(wearos): add Samsung Galaxy Watch 4 streaming support, 14 bug fixes, and clinical benchmarks 14 days ago
benchmark_results.json

25 kB
feat(wearos): add Samsung Galaxy Watch 4 streaming support, 14 bug fixes, and clinical benchmarks 14 days ago
build_notebook.py

56 kB
Permanently ingest 1500 cardiac QA dataset into model weights, update disclaimer, add greeting intelligence, and recreate safetensors checkpoint 21 days ago
cardiac_health_dataset.md

442 kB
Permanently ingest 1500 cardiac QA dataset into model weights, update disclaimer, add greeting intelligence, and recreate safetensors checkpoint 21 days ago
cardiac_knowledge_base.json

654 kB
Permanently ingest 1500 cardiac QA dataset into model weights, update disclaimer, add greeting intelligence, and recreate safetensors checkpoint 21 days ago
cardio_edge_distillation_pipeline.ipynb

48.9 kB
Permanently ingest 1500 cardiac QA dataset into model weights, update disclaimer, add greeting intelligence, and recreate safetensors checkpoint 21 days ago
cardiology_curriculum.py

35.6 kB
feat(wearos): add Samsung Galaxy Watch 4 streaming support, 14 bug fixes, and clinical benchmarks 14 days ago
clinical_rag.py

25.4 kB
feat(wearos): add Samsung Galaxy Watch 4 streaming support, 14 bug fixes, and clinical benchmarks 14 days ago
export_coreml.py

6.66 kB
feat(wearos): add Samsung Galaxy Watch 4 streaming support, 14 bug fixes, and clinical benchmarks 14 days ago
export_litert.py

6.81 kB
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
export_mobile_dataset.py

3.07 kB
feat(wearos): add Samsung Galaxy Watch 4 streaming support, 14 bug fixes, and clinical benchmarks 14 days ago
medgemma_micro_cardio_edge.safetensors

353 MB
xet

Fix PPGConformerEncoder temporal pooling bottleneck and achieve 100% arrhythmia classification accuracy 21 days ago
pipeline.py

58.9 kB
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
requirements.txt

1.07 kB
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
run_interface.py

954 Bytes
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
test_interface.py

9.46 kB
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
test_pipeline.py

7.78 kB
feat: upgrade to sub-512MB mobile architecture for iOS (Core ML) and Android (LiteRT) 21 days ago
test_tflite_models.py

10.1 kB
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
test_unified_350m_model.py

10.6 kB
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
test_wearos_compatibility.py

12.9 kB
feat(wearos): add Samsung Galaxy Watch 4 streaming support, 14 bug fixes, and clinical benchmarks 14 days ago
train_and_distill_qwen.py

12.9 kB
Fix PPGConformerEncoder temporal pooling bottleneck and achieve 100% arrhythmia classification accuracy 21 days ago
train_and_export_tflite.py

29.3 kB
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
train_and_export_unified_350m.py

37.5 kB
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
train_and_quantize_360m.py

8.04 kB
fix(chat): resolve Q&A completion trigger, enhance RAG grounding, and add benchmark audit suite 16 days ago
train_sensor_conformer.py

5.4 kB
Fix PPGConformerEncoder temporal pooling bottleneck and achieve 100% arrhythmia classification accuracy 21 days ago
wearos_companion_reference.md

15.1 kB
feat(wearos): add Samsung Galaxy Watch 4 streaming support, 14 bug fixes, and clinical benchmarks 14 days ago
wearos_ppg_adapter.py

24.6 kB
feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard 5 days ago
wearos_test_bench.py

14.9 kB
feat(wearos): add Samsung Galaxy Watch 4 streaming support, 14 bug fixes, and clinical benchmarks 14 days ago