viyjy

grok-1

Grok open release

Open-Sora

Open-Sora: Democratizing Efficient Video Production for All

diffusion

Graph-Adversarial-Learning

A curated collection of adversarial attack and defense on graph data.

wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

DropEdge

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

TCL

code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

pytorch-gnn-meta-attack

Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.