Alternatives and similar repositories for NRAE-public

Users that are interested in NRAE-public are comparing it to the libraries listed below

• EmilienDupont / neural-processes
  Pytorch implementation of Neural Processes for functions and images
  ☆232Updated 3 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆77Updated 4 years ago
• MichaelArbel / GeneralizedEBM
  ☆54Updated last year
• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆126Updated last year
• ParthaEth / Regularized_autoencoders-RAE-
  ☆123Updated 2 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• PolinaKirichenko / flows_ood
  ☆88Updated 3 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆92Updated 5 years ago
• soobinseo / Attentive-Neural-Process
  A Pytorch Implementation of Attentive Neural Process
  ☆75Updated 6 years ago
• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 3 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆66Updated 6 years ago
• AMLab-Amsterdam / FNP
  Implementation of the Functional Neural Process models
  ☆43Updated 5 years ago
• pfnet-research / hyperbolic_wrapped_distribution
  ☆33Updated 6 years ago
• brendel-group / cl-ica
  Code for the paper "Contrastive Learning Inverts the Data Generating Process".
  ☆90Updated last year
• TrentBrick / PyTorchDiscreteFlows
  Discrete Normalizing Flows implemented in PyTorch
  ☆114Updated 3 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
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆29Updated last year
• SaynaEbrahimi / UCB
  Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
  ☆75Updated 4 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆279Updated 3 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 2 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆84Updated 6 years ago
• team-approx-bayes / fromp
  Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
  ☆44Updated 4 years ago
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆128Updated last year
• izmailovpavel / bnn_covariate_shift
  Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
  ☆33Updated 2 years ago
• shaohua0116 / MultiDigitMNIST
  Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
  ☆101Updated 4 years ago
• Alfo5123 / Variational-Sparse-Coding
  Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
  ☆62Updated 2 years ago
• kamenbliznashki / generative_models
  Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
  ☆92Updated 4 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆83Updated 6 years ago
• JakobHavtorn / hvae-oodd
  Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"
  ☆30Updated 3 years ago