BBAR

Graph Neural Network Library for PyTorch

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

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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"