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environment.yml
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81 lines (81 loc) · 1.77 KB
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name: deephit-torch
channels:
- defaults
- conda-forge
dependencies:
- blas=1.0
- bottleneck=1.3.7
- brotli-python=1.0.9
- ca-certificates=2024.7.2
- certifi=2024.8.30
- charset-normalizer=3.3.2
- idna=3.7
- joblib=1.4.2
- libgfortran=5.0.0
- libgfortran5=11.3.0
- libopenblas=0.3.21
- ncurses=6.4
- numexpr=2.8.4
- numpy=1.24.3
- numpy-base=1.24.3
- openssl=3.0.15
- packaging=24.1
- pandas=2.0.3
- pip=24.2
- platformdirs=3.10.0
- pooch=1.7.0
- pysocks=1.7.1
- python=3.8.19
- python-dateutil=2.9.0post0
- python-tzdata=2023.3
- pytz=2024.1
- readline=8.2
- requests=2.32.3
- scikit-learn=1.3.0
- scipy=1.10.1
- setuptools=72.1.0
- six=1.16.0
- sqlite=3.45.3
- threadpoolctl=3.5.0
- tk=8.6.14
- urllib3=2.2.2
- wheel=0.44.0
- xz=5.4.6
- zlib=1.2.13
- pip:
- absl-py==2.1.0
- autograd==1.7.0
- autograd-gamma==0.5.0
- cachetools==5.5.0
- contourpy==1.1.1
- cycler==0.12.1
- flatbuffers==24.3.25
- fonttools==4.53.1
- formulaic==1.0.2
- h5py==3.11.0
- importlib-metadata==8.5.0
- importlib-resources==6.4.5
- interface-meta==1.3.0
- kiwisolver==1.4.7
- lifelines==0.27.8
- markdown==3.7
- matplotlib==3.7.5
- opt-einsum==3.3.0
- pillow==10.4.0
- protobuf==4.25.4
- pyasn1==0.6.1
- pyasn1-modules==0.4.1
- pyparsing==3.1.4
- requests-oauthlib==2.0.0
- rsa==4.9
- termcolor==2.4.0
- typing-extensions==4.5.0
- werkzeug==3.0.4
- wrapt==1.16.0
- zipp==3.20.2
- torch==2.0.1
- torchvision==0.15.2
- torchaudio==2.0.2
- tensorboard==2.13.0 # Tensorboard can still be useful for visualizing training
- tqdm==4.66.1 # For progress bars
- pandas==2.0.3 # Data analysis tools