Tensors and Dynamic neural networks in Python with strong GPU acceleration

scikit-learn: machine learning in Python

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

A toolkit for developing and comparing reinforcement learning algorithms.

Zipline, a Pythonic Algorithmic Trading Library

Trax — Deep Learning with Clear Code and Speed

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

PaccMann training models

Implementation of the INtERAcT algorithm