... I send out a list of most interesting libraries and apps in the "Deep Learning" section to about 1100 subscribers.
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Useful packages for deep learning + their installation (python)
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.
The fastai deep learning library, plus lessons and tutorials
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
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.