Summary of Python deep learning packages

Python deep learning often uses package summaries
Update history

2021/2/28

1.pytorch
Website: https://pytorch.org/
Current installed version: 1.7.1

pip install torch===1.7.1+cu110 torchvision===0.8.2+cu110 torchaudio===0.7.2 -f https://download.pytorch.org/whl/torch_stable.html

2. scikit-learn(sklearn)

pip install scikit-learn

Current version: 0.24.1
3.pandas

pip install pandas

Current version: 1.2.2
Installing Pandas will install Numpy
4.numpy

pip install numpy

Current version: 1.20.1

Previous installers of PyTorch did not use the latest Numpy. 1.16.6 does.
But now the latest version does.

5.matplotlib

pip install matplotlib

Current version: 3.3.4
6 tensorflow 1.15

pip install tensorflow==1.15 -i http://pypi.douban.com/simple/

Less use of
1.networkx
NetworkX is a Python package for building and manipulating complex graph structures and providing algorithms for analyzing graphs.

pip install networkx

Current version: 2.5

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