Google AI 2018 BERT pytorch implementation
Contrastive Learning of Structured World Models
🌀 Stanford CS 228 - Probabilistic Graphical Models
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Learning deep representations by mutual information estimation and maximization
An implementation of Geoffrey Hinton's paper "How to represent part-whole hierarchies in a neural network" in Pytorch.
Supervised community detection with line graph neural networks
Code for GPT-4chan
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)
A PyTorch implementation of Implicit Behavioral Cloning by Florence et al.
Everything I know
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
Implementation of the Radon-Sobolev Variational Auto-Encoder as described in arXiv:1911.13135
Author's PyTorch implementation of TD3 for OpenAI gym tasks
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning