GPT-ST

Graph Neural Network Library for PyTorch

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

This repository contains the source code for the paper First Order Motion Model for Image Animation

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

A collection of resources and papers on Diffusion Models

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Anomaly detection related books, papers, videos, and toolboxes

Code for the paper "Jukebox: A Generative Model for Music"

[NeurIPS 2024 Best Paper][GPT beats diffusion?] [scaling laws in visual generation?] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"