PyTorch C++ Reinforcement Learning

The Arcade Learning Environment (ALE) -- a platform for AI research.

The fundamental package for scientific computing with Python.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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Pytorch implementation of deep person re-identification models.

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Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published at https://www.nature.com/articles/s41586-018-0102-6

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Combines the high accuracy of AR with the scale of GPS data.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

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Notes

Code and dataset for paper "VITON: An Image-based Virtual Try-on Network"

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

Keras implementation of Deeplab v3+ with pretrained weights