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requirements.txt
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requirements.txt
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# base
numpy>=1.18.0
scipy==1.4.1
matplotlib==3.3.4
scikit-learn>=0.22.2,==0.23.*
six==1.15.0
Pillow==7.2.0
tqdm==4.59.0
statsmodels==0.12.1
pydub==0.24.1
resampy==0.2.2
ffmpeg-python==0.2.0
cma==3.0.3
pandas==1.1.4
librosa==0.8.0
numba~=0.52.0
opencv-python
# frameworks
h5py==2.10.0
# supported versions: (tensorflow==2.2.0 with keras==2.3.1) or (tensorflow==1.15.4 with keras==2.2.5)
tensorflow>=1.15.4
keras>=2.2.5
tensorflow-addons~=0.11.2
# using mxnet-native for reproducible test results on CI machines without Intel Architecture Processors, but mxnet is fully supported by ART
mxnet==1.6.0
--find-links https://download.pytorch.org/whl/torch_stable.html
torch==1.7.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html
torchvision==0.8.2+cpu -f https://download.pytorch.org/whl/torch_stable.html
catboost==0.24.4
GPy==1.9.9
lightgbm==3.0.0
xgboost==1.3.1
kornia~=0.4.1
# Lingvo ASR dependencies
# supported versions: (lingvo==0.6.4 with tensorflow-gpu==2.1.0)
# note: due to conflicts with other TF1/2 version supported by ART, the dependencies are not installed by default
#tensorflow-gpu==2.1.0
#lingvo==0.6.4
# other
pytest~=5.4.1
pytest-pep8~=1.0.6
pytest-mock~=3.3.1
pytest-cov~=2.10.1
codecov~=2.1.9
requests~=2.24.0
# ART
-e .
#NOTE to contributors: When changing/adding packages, please make sure that the packages are consitent with those
# present within the Dockerfile