Useful packages for deep learning + their installation (python)
Official Deep Learning Library of Gougle Research
SchNet - a deep learning architecture for quantum chemistry
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
The fastai deep learning library, plus lessons and tutorials
A deep learning package for many-body potential energy representation and molecular dynamics
Python package built to ease deep learning on graph, on top of existing DL frameworks.