Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
MIT License
Implementation of RT1 (Robotic Transformer) in Pytorch
PFRL: a PyTorch-based deep reinforcement learning library
Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tune...
Dense Prediction Transformers
Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
Meta-Transformer for Unified Multimodal Learning
An implementation of Performer, a linear attention-based transformer, in Pytorch
Modular Python implementation of encoder-only, decoder-only and encoder-decoder transformer archi...
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ChainerRL is a deep reinforcement learning library built on top of Chainer.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decis...
Pytorch implementation of Compressive Transformers, from Deepmind
Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning
Minimal Decision Transformer Implementation written in Jax (Flax).
A library to train, evaluate, interpret, and productionize decision forest models such as Random ...