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* wip ' * upgrade requirements * add file * fix * fixes * Apply suggestions from code review Try mlagents==0.21.0 for now (works with torch 1.9). * Apply suggestions from code review * wip * wip * fix * fix * upgrade lightning bolts * address comment Co-authored-by: Sven Mika <sven@anyscale.io>
47 lines
1.1 KiB
Text
47 lines
1.1 KiB
Text
-r requirements_dl.txt
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autogluon.core==0.1.0
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ax-platform==0.1.9; python_version < '3.7'
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ax-platform==0.2.1; python_version >= '3.7'
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bayesian-optimization==1.2.0
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ConfigSpace==0.4.18
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dask[complete]==2021.03.0; python_version < '3.7'
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dask[complete]==2021.8.1; python_version >= '3.7'
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dragonfly-opt==0.1.6
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flaml==0.5.2
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freezegun==1.1.0
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gluoncv==0.10.1.post0
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gpy==1.10.0
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gym[atari]==0.18.3
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h5py==3.1.0
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hpbandster==0.7.4
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pymoo<0.5.0 # this is a HEBO dependency, remove after https://github.com/huawei-noah/noah-research/issues/41 is fixed
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HEBO==0.1.0
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hyperopt==0.2.5
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jupyter==1.0.0
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kubernetes==17.17.0
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lightgbm==3.2.1
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matplotlib==3.3.4; python_version < '3.7'
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matplotlib==3.4.3; python_version >= '3.7'
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mlflow==1.19.0
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mxnet==1.8.0.post0
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nevergrad==0.4.3.post7
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optuna==2.9.1
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pytest-remotedata==0.3.2
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lightning-bolts==0.4.0
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pytorch-lightning==1.4.5
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scikit-learn==0.24.2
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scikit-optimize==0.8.1
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sigopt==7.5.0
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smart_open==5.1.0
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timm==0.4.5
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transformers==4.9.1
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wandb==0.10.29
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xgboost==1.3.3
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zoopt==0.4.1
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# Dependencies for Hugging Face examples:
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# `python/ray/util/sgd/v2/examples/transformers/transformers_example.py`
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accelerate==0.3.0
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datasets==1.11.0
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sentencepiece==0.1.96
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