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Dependencies
- accelerate >=0.20.0
- bitsandbytes >=0.40.0
- huggingface-hub >=0.16.0
- imageio >=2.9.0
- matplotlib >=3.3.0
- numpy >=1.20.0
- opencv-python >=4.5.0
- pandas >=1.3.0
- pillow >=9.0.0
- scikit-image >=0.19.0
- scipy >=1.7.0
- torch >=2.0.0
- torchaudio >=2.0.0
- torchvision >=0.15.0
- tqdm >=4.60.0
- transformers >=4.30.0
47 optional dependencies
- albumentations[pathology]
- black[dev]
- colour-science[pathology]
- cucim[pathology]
- dateparser[clinical]
- dipy[radiology]
- fastparquet[molecular]
- fhir-resources[clinical]
- hl7apy[clinical]
- honeybee-ml[all]
- honeybee-ml[clinical-full]
- intensity-normalization[radiology]
- ipykernel[visualization]
- ipywidgets[visualization]
- langchain-text-splitters[clinical]
- litellm[clinical]
- lungmask[radiology]
- medcat[clinical-full]
- medspacy[clinical-full]
- monai[radiology]
- mypy[dev]
- neurocombat[radiology]
- nibabel[radiology]
- nnunetv2[radiology]
- onnxruntime[models]
- openslide-python[pathology]
- pdf2image[clinical]
- peft[models]
- pyarrow[molecular]
- pydicom[radiology]
- pymongo[database]
- pymupdf[clinical]
- pypdf2[clinical]
- pytesseract[clinical]
- pytest[dev]
- pytest-cov[dev]
- requests[clinical]
- ruff[dev]
- scikit-learn[pathology]
- scispacy[clinical]
- simpleitk[radiology]
- spacy[clinical]
- timm[models]
- torchio[radiology]
- totalsegmentator[radiology]
- umap-learn[pathology]
- unstructured[clinical]