explainingai-code / VQVAE-PytorchLinks
This repo implements VQVAE on mnist and as well as colored version of mnist images. It also implements simple LSTM for generating sample numbers using the encoder outputs of trained VQVAE
☆60Updated last year
Alternatives and similar repositories for VQVAE-Pytorch
Users that are interested in VQVAE-Pytorch are comparing it to the libraries listed below
Sorting:
- A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application☆321Updated 10 months ago
- ☆143Updated last year
- PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"☆165Updated 2 years ago
- A minimal PyTorch implementation of the VQ-VAE model described in "Neural Discrete Representation Learning".☆83Updated 3 years ago
- [NeurIPS 2023] code for "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models☆71Updated 2 years ago
- VQ-VAE/GAN implementation in pytorch-lightning☆50Updated last year
- This repo contains the implementation of VQGAN, Taming Transformers for High-Resolution Image Synthesis in PyTorch from scratch. I have a…☆38Updated last year
- A simple tutorial of Diffusion Probabilistic Models☆107Updated last year
- A basic PyTorch implementation of 'Denoising Diffusion Probabilistic Models'☆186Updated 2 years ago
- A minimal implementation of a denoising diffusion model in PyTorch.☆131Updated last year
- [ICCV 2023] Online Clustered Codebook☆182Updated last year
- Unofficial Implementation of Consistency Models in pytorch☆261Updated 2 years ago
- VQVAE for video prediction☆29Updated 3 years ago
- A naive implementation of PixelCNN in Pytorch as described in A Oord et. al.☆63Updated 5 years ago
- Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in P…☆207Updated last year
- A mini-library for training consistency models.☆250Updated last year
- A Tutorial for Diffusion Models☆60Updated 2 years ago
- ☆479Updated 3 years ago
- denoising diffusion models, as simple as possible☆170Updated 3 years ago
- Collection of tutorials on diffusion models, step-by-step implementation guide, scripts for generating images with AI, prompt engineering…☆146Updated 8 months ago
- ☆42Updated last year
- Implementation of Autoregressive Diffusion in Pytorch☆423Updated this week
- Implementation of rectified flow and some of its followup research / improvements in Pytorch☆400Updated last week
- An unofficial implementation of both ViT-VQGAN and RQ-VAE in Pytorch☆318Updated 7 months ago
- Code for Fast Training of Diffusion Models with Masked Transformers☆417Updated last year
- Annotated Flow Matching paper☆222Updated last year
- Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch☆354Updated 2 years ago
- ☆328Updated 3 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆151Updated 3 years ago
- ☆229Updated 2 years ago