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Richard Liaw
36 lines
481 B
Plaintext
36 lines
481 B
Plaintext
ConfigSpace==0.4.10
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bayesian-optimization
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boto3
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dm_tree
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dragonfly-opt
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gym[atari]
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h5py
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hpbandster
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hyperopt==0.1.2
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jupyter
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keras
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lightgbm
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lz4
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matplotlib
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mlflow
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nevergrad
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opencv-python-headless
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pandas
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pytest-remotedata>=0.3.1
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pytest-timeout
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pytorch-lightning
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scikit-learn==0.22.2
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scikit-optimize
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sigopt
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smart_open
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tabulate
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tensorboardX
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tensorflow_probability
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torch
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torchvision
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xgboost
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zoopt>=0.4.0
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timm
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dataclasses
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git+https://github.com/ray-project/tune-sklearn.git#egg=tune-sklearn
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