A Collection of Variational Autoencoders (VAE) in PyTorch.

Official implementation of the "Multimodal Parameter-Efficient Few-Shot Class Incremental Learning" paper

Audio generation using diffusion models, in PyTorch.

Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Implementation of Transframer, Deepmind's U-net + Transformer architecture for up to 30 seconds video generation, in Pytorch

A collection of resources and papers on Diffusion Models

✨✨Latest Advances on Multimodal Large Language Models