mathdatech/awesome-python
1
0
Fork 0
mirror of https://github.com/vinta/awesome-python.git synced 2024-11-23 20:11:06 +00:00
Code Issues Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Adam Ross 2024-04-08 17:52:24 +12:00 committed by GitHub
parent 3d9af26937
commit 0b8a5d1d93
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 1 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
README.md
View File

@ -415,6 +415,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [keras](https://github.com/keras-team/keras) - A high-level neural networks library and capable of running on top of either TensorFlow or Theano. * [keras](https://github.com/keras-team/keras) - A high-level neural networks library and capable of running on top of either TensorFlow or Theano.
* [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration. * [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
* [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast. * [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast.
* [Stable Baselines3](https://github.com/DLR-RM/stable-baselines3) - PyTorch implementations of stable baselines (deep) reinforcement learning algorithms.
* [tensorflow](https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google. * [tensorflow](https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google.
* [theano](https://github.com/Theano/Theano) - A library for fast numerical computation. * [theano](https://github.com/Theano/Theano) - A library for fast numerical computation.