ML Libraries

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  • 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.