PyTorch Tutorial for Deep Learning Researchers

Graph Neural Network Library for PyTorch

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Train transformer language models with reinforcement learning.

Script for downloading Coursera.org videos and naming them.

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Implementation of Graph Convolutional Networks in TensorFlow

Official repo for consistency models.

A system for quickly generating training data with weak supervision

StarGAN - Official PyTorch Implementation (CVPR 2018)

Graph Convolutional Networks in PyTorch

A collection of important graph embedding, classification and representation learning papers with implementations.

An Open-Source Package for Knowledge Embedding (KE)

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

A PyTorch Library for Meta-learning Research

Algorithms for explaining machine learning models

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Conditional Transformer Language Model for Controllable Generation

A library for graph deep learning research

Message Passing Neural Networks for Molecule Property Prediction

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

A BERT model for scientific text.

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

该项目是基于医疗领域知识图谱的问答系统。实现比较简单。

Chai-1, SOTA model for biomolecular structure prediction