AntixK / PyTorch-VAELinks
A Collection of Variational Autoencoders (VAE) in PyTorch.
☆7,243Updated 3 months ago
Alternatives and similar repositories for PyTorch-VAE
Users that are interested in PyTorch-VAE are comparing it to the libraries listed below
Sorting:
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)☆1,923Updated 11 months ago
- Compute FID scores with PyTorch.☆3,680Updated last year
- Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch☆1,750Updated 2 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,414Updated last year
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,314Updated last year
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆5,018Updated 2 weeks ago
- Implementation of Denoising Diffusion Probabilistic Model in Pytorch☆9,609Updated 9 months ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,314Updated 2 years ago
- Vector Quantized VAEs - PyTorch Implementation☆922Updated 2 years ago
- ☆6,893Updated last year
- A collection of AWESOME things about domian adaptation☆5,295Updated 8 months ago
- Release for Improved Denoising Diffusion Probabilistic Models☆3,614Updated 11 months ago
- PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,950Updated 11 months ago
- Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch☆638Updated last month
- PyTorch implementations of Generative Adversarial Networks.☆17,137Updated last year
- Diffusion model papers, survey, and taxonomy☆3,211Updated 3 weeks ago
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,832Updated 11 months ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,180Updated 2 months ago
- Denoising Diffusion Probabilistic Models☆4,533Updated last year
- Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization☆3,725Updated last year
- A collection of resources and papers on Diffusion Models☆11,857Updated 11 months ago
- Vector (and Scalar) Quantization, in Pytorch☆3,391Updated 3 weeks ago
- [NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang☆1,681Updated 2 years ago
- 95.47% on CIFAR10 with PyTorch☆6,230Updated 2 years ago
- View model summaries in PyTorch!☆2,821Updated this week
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,054Updated 2 years ago
- A concise but complete full-attention transformer with a set of promising experimental features from various papers☆5,441Updated last week
- Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)☆1,344Updated last year
- A curated list of awesome self-supervised methods☆6,297Updated last year
- ☆11,545Updated 4 months ago