Alternatives and similar repositories for Variational-Autoencoder-for-MNIST

Users that are interested in Variational-Autoencoder-for-MNIST are comparing it to the libraries listed below

• taehoon-yoon / Diffusion-Probabilistic-Models
  PyTorch implementation for DDPM & DDIM
  ☆34Updated last year
• itailang / poster_guide
  A conference poster format with structure, content, creation, and presentation recommendations.
  ☆86Updated last month
• Gsunshine / py-meanflow
  Pytorch implementation for MeanFlow
  ☆223Updated 3 months ago
• Alokia / Idempotent-Generative-Network
  Idempotent Generative Network's unofficial pytorch implementation
  ☆46Updated last year
• FutureXiang / ddae
  [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
  ☆181Updated last year
• yuhuUSTC / FAR
  Frequency Autoregressive Image Generation with Continuous Tokens
  ☆92Updated 5 months ago
• zhuyu-cs / MeanFlow
  Pytorch implementation of MeanFlow on ImageNet and CIFAR10
  ☆338Updated 2 months ago
• OliverRensu / FlowAR
  “FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching” FlowAR employs a simplest scale design and is compatible with an…
  ☆159Updated 6 months ago
• jcwang-gh / classifier-free-diffusion-guidance-Pytorch
  a simple unofficial implementation of classifier-free diffusion guidance
  ☆207Updated 2 years ago
• Hhhhhhao / continuous_tokenizer
  ☆284Updated 5 months ago
• Lakonik / GMFlow
  [ICML 2025] Gaussian Mixture Flow Matching Models (GMFlow)
  ☆151Updated last week
• Rgtemze / HyperDiffusion
  Official code repository of "HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion" @ ICCV 2023
  ☆197Updated last year
• CompVis / diff2flow
  [CVPR 2025] Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
  ☆79Updated 5 months ago
• VinAIResearch / LFM
  Official PyTorch implementation of the paper: Flow Matching in Latent Space
  ☆317Updated 9 months ago
• lucidrains / autoregressive-diffusion-pytorch
  Implementation of Autoregressive Diffusion in Pytorch
  ☆416Updated last year
• CompVis / discrete-interpolants
  The official implementation of "[MASK] is All You Need"
  ☆125Updated 3 months ago
• kylesargent / FlowMo
  Official PyTorch implementation of FlowMo.
  ☆100Updated 7 months ago
• rese1f / Awesome-VQVAE
  A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
  ☆321Updated 9 months ago
• dongzhuoyao / Diffusion-Representation-Learning-Survey-Taxonomy
  ☆103Updated last year
• tqch / v-diffusion-torch
  PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance
  ☆32Updated last year
• eccv24 / paper-template
  ECCV 2024 paper template
  ☆52Updated last year
• cvpr2023-tutorial-diffusion-models / papers
  ☆212Updated 2 years ago
• tyshiwo1 / DiM-DiffusionMamba
  The official implementation of DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis
  ☆219Updated last year
• feizc / DiS
  Scalable Diffusion Models with State Space Backbone
  ☆156Updated last year
• Neur-IO / OptVQ
  Towards training VQ-VAE models robustly!
  ☆85Updated 4 months ago
• diffusion-classifier / diffusion-classifier
  Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
  ☆474Updated last year
• lyndonzheng / CVQ-VAE
  [ICCV 2023] Online Clustered Codebook
  ☆178Updated last year
• CompVis / cleandift
  ☆112Updated 2 months ago
• YWolfeee / Training-Free-Guidance
  Code for TFG: Unified Training-Free Guidance for Diffusion Models
  ☆70Updated 2 weeks ago
• EnVision-Research / DDSM
  Denoising Diffusion Step-aware Models (ICLR2024)
  ☆62Updated last year