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@ -416,6 +416,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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* [keras](https://github.com/keras-team/keras) - A high-level neural networks library and capable of running on top of either TensorFlow or Theano.
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* [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
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* [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast.
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* [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.
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* [tensorflow](https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google.
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* [theano](https://github.com/Theano/Theano) - A library for fast numerical computation.
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@ -704,6 +705,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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* [vowpal_porpoise](https://github.com/josephreisinger/vowpal_porpoise) - A lightweight Python wrapper for [Vowpal Wabbit](https://github.com/JohnLangford/vowpal_wabbit/).
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* [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library.
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* [MindsDB](https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.
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* [PyBroker](https://github.com/edtechre/pybroker) - Algorithmic Trading with Machine Learning.
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## Microsoft Windows
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