PyTorch is one of the Deeplearning framework increase in usage of industry. unless TensorFlow, PyTorch has rich ecosystem libraries and tools for to support develpment.
Captum - Model Interpretability libraries for PyTorch. Using Captum to understand which of the features were most important and how the network reached its prediction.
Glow - Glow is a machine learning compiler that accelerates the performance of deep learning frameworks on different hardware
PyText - Deep-learning based NLP modeling framework built on PyTorch.
PyG - PyTorch Geometric - New field of machine learning that can learn from complex and irregular data like graph, point clouds,manifolds and multi-dimensional points.
Skorch - A libraries for scikit-learn lovers. skorch is a wrapper to use sklearn on PyTorch.
Torchbearer - A model fitting libraries. Can use torchbearer to train over multiple nodes.
Aim is to dramatically reduce the amount of boilerplate code.