Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group
MIT License
Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Fun...
Implementation of Voicebox, new SOTA Text-to-speech network from MetaAI, in Pytorch
This is a collection of our NAS and Vision Transformer work.
Implementations of Reinforcement Learning and Planning algorithms
Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients,...
Softlearning is a reinforcement learning framework for training maximum entropy policies in conti...
Implementation of Soft Actor Critic and some of its improvements in Pytorch
Implementation of RT1 (Robotic Transformer) in Pytorch
DALL·E Mini - Generate images from a text prompt
Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space...
Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling wit...
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Re...