
PyTorch-VAE
by AntixK (personal account)
A Collection of Variational Autoencoders (VAE) in PyTorch. (description from the project’s GitHub page)
Repository facts
- Stars
- 7,678
- Forks
- 1,181
- Open issues and pull requests
- 68
- Primary language
- Python
- License
- Apache License 2.0 (Apache-2.0)
- Owner
- AntixK · Personal account
- Created
- Jan 10, 2020
- Last push
- Mar 21, 2025
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 3,648: clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
2,001 starsPythonApache-2.0Last push Jul 31, 2024
Rank 2,231: podgorskiy/ALAE
[CVPR2020] Adversarial Latent Autoencoders
3,508 starsPythonNo license file detectedLast push Jan 23, 2021
Rank 6,798: EdoardoBotta/RQ-VAE-Recommender
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
850 starsPythonMITLast push Aug 31, 2026
Rank 5,806: hkproj/pytorch-stable-diffusion
Stable Diffusion implemented from scratch in PyTorch
1,082 starsJupyter NotebookMITLast push Oct 22, 2024
Rank 5,440: altosaar/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
1,193 starsPythonMITLast push Apr 24, 2024
Rank 6,295: ritheshkumar95/pytorch-vqvae
Vector Quantized VAEs - PyTorch Implementation
955 starsPythonNo license file detectedLast push Jul 12, 2023