Michael Janner's repositories
trajectory-transformer
Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"
intrinsics-network
Code for the paper "Self-Supervised Intrinsic Image Decomposition"
spatial-reasoning
Code for the paper "Representation Learning for Grounded Spatial Reasoning"
gamma-models
Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
torch-colormap
MATLAB-style colormaps for Torch
bullet-manipulation
Robotic manipulation in PyBullet
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Gumbel_Softmax_VAE
PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.