MoSE-AUSeg

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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

A collection of resources and papers on Diffusion Models

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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"

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior