Reinforcement Learning Coach is an an open source research framework for training and evaluating reinforcement learning (RL) agents that uses the processing power of multi-core CPUs to enable efficient training of RL agents.
Network compression can reduce the memory footprint of a neural network, increase its inference speed and save energy. Distiller provides a PyTorch environment for prototyping and analyzing compression algorithms, such as sparsity-inducing methods and low-precision arithmetic.
NLP Architect is an open-source Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding. It is intended to be a platform for future research and collaboration.
CARLA is an open-source simulator for autonomous driving research that supports development, training, and validation of autonomous urban driving systems.
Loihi is a self-learning neuromorphic test chip developed by Intel Labs that combines training and deployment in one package and was designed for use in research applications.
BrainIAK applies advanced machine learning methods and high-performance computing to analysis of neuroimaging data.