Alternatives and similar repositories for pytorch-lightning-vae

Users that are interested in pytorch-lightning-vae are comparing it to the libraries listed below

• YannDubs / disentangling-vae
  Experiments for understanding disentanglement in VAE latent representations
  ☆825Updated 2 years ago
• dariocazzani / pytorch-AE
  Autoencoders in PyTorch
  ☆93Updated 3 years ago
• NVlabs / NVAE
  The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
  ☆1,059Updated 2 years ago
• EugenHotaj / pytorch-generative
  Easy generative modeling in PyTorch
  ☆440Updated last year
• nocotan / pytorch-lightning-gans
  Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.
  ☆169Updated 4 months ago
• FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict
  Code for my medium article
  ☆372Updated 4 years ago
• sksq96 / pytorch-vae
  A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
  ☆299Updated 5 years ago
• facebookresearch / vicreg
  VICReg official code base
  ☆544Updated 2 years ago
• openai / vdvae
  Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
  ☆446Updated 2 years ago
• Jackson-Kang / Pytorch-VAE-tutorial
  A simple tutorial of Variational AutoEncoders with Pytorch
  ☆400Updated last year
• LukeDitria / CNN-VAE
  Variational Autoencoder (VAE) with perception loss implementation in pytorch
  ☆133Updated last year
• aamini / evidential-deep-learning
  Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
  ☆487Updated 3 years ago
• reoneo97 / vae-playground
  Implementation of Variational Autoencoders using Pytorch Lightning
  ☆33Updated 2 years ago
• greentfrapp / lucent
  Lucid library adapted for PyTorch
  ☆639Updated 4 months ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 years ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆876Updated 5 years ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆308Updated last month
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆147Updated 2 weeks ago
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆480Updated 3 years ago
• rll / deepul
  ☆812Updated 3 months ago
• archinetai / surgeon-pytorch
  A library to inspect and extract intermediate layers of PyTorch models.
  ☆473Updated 3 years ago
• AndrewSpano / Disentangled-Variational-Autoencoder
  PyTorch Implementations of a VAE and a beta-VAE.
  ☆60Updated 4 years ago
• nmichlo / disent
  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…
  ☆127Updated 2 years ago
• google-research / robustness_metrics
  ☆470Updated 3 months ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆384Updated 3 years ago
• jankrepl / mildlyoverfitted
  Paper implementations from scratch and machine learning tutorials
  ☆348Updated last year
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆279Updated 3 years ago
• karpathy / deep-vector-quantization
  VQVAEs, GumbelSoftmaxes and friends
  ☆581Updated 3 years ago
• KevinMusgrave / pytorch-adapt
  Domain adaptation made easy. Fully featured, modular, and customizable.
  ☆381Updated 2 years ago
• izmailovpavel / understandingbdl
  ☆241Updated 2 years ago