Alternatives and similar repositories for categorical-vae:

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

• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated last month
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆56Updated 2 years ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• matbun / EBM--Generative-Energy-Based-Modeling
  Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …
  ☆16Updated 3 years ago
• ok1zjf / LBAE
  PyTorch implementation of the ICML 2020 paper "Latent Bernoulli Autoencoder"
  ☆24Updated 4 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• unixpickle / ddim
  Denoising Diffusion Implicit Models
  ☆28Updated 4 years ago
• Yu-Group / adaptive-wavelets
  Adaptive, interpretable wavelets across domains (NeurIPS 2021)
  ☆77Updated 3 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 9 months ago
• julian-8897 / hyperbolic_vae
  Variational Autoencoder with non-euclidean (hyperbolic) latent space
  ☆11Updated 2 years ago
• gengala / egnca
  Official implementation of E(n)-equivariant Graph Neural Cellular Automata
  ☆28Updated last year
• eleGAN23 / QVAE
  Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).
  ☆29Updated 3 years ago
• AndrewAtanov / semi-supervised-flow-pytorch
  Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"
  ☆10Updated 5 years ago
• google-deepmind / ssl_hsic
  ☆37Updated 8 months ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆51Updated 9 months ago
• eitanrich / torch-mfa
  Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch
  ☆40Updated 2 years ago
• dualslash / reptile-torch
  PyTorch Implementation of Reptile
  ☆20Updated 4 years ago
• stathius / sd-vae
  Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"
  ☆14Updated last year
• dzld00 / pytorch-manifold-matching
  [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
  ☆80Updated 2 years ago
• dlmacedo / distinction-maximization-loss
  A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…
  ☆45Updated 2 years ago
• noahgolmant / SGLD
  Stochastic Gradient Langevin Dynamics for Bayesian learning
  ☆31Updated 3 years ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆34Updated 11 months ago
• stanfordmlgroup / disentanglement
  Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
  ☆36Updated 4 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• gcucurull / maml_flax
  Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.
  ☆19Updated 4 years ago
• PrincetonLIPS / MaM
  Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]
  ☆22Updated 8 months ago
• mutual-ai / Information-Bottleneck-for-Deep-Learning
  Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.
  ☆13Updated 7 years ago
• saleml / continuous-gfn
  ☆24Updated last year
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 2 years ago
• kimiandj / gsw
  ☆39Updated 5 years ago