imgaug - Image augmentation for machine learning experiments.
PlaidML - Framework for making deep learning work everywhere.
Leaf - Open Machine Intelligence Framework for Hackers. (GPU/CPU).
Apache MXNet - Deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity.
Sonnet - Library built on top of TensorFlow for building complex neural networks.
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators.
dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.
PySyft - Library for encrypted, privacy preserving deep learning.
numpy-ml - Machine learning, in numpy.