thwjoy / ccvae_pytorch

Related projects ⓘ

Alternatives and complementary repositories for ccvae_pytorch

• thwjoy / ccvae
  The official codebase for Capturing label characteristics in VAEs
  ☆14Updated 3 years ago
• lifeitech / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆31Updated last year
• ermongroup / smile-mi-estimator
  PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"
  ☆73Updated 4 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 3 years ago
• makezur / information_bottleneck_pytorch
  Project for the Large Scale Optimization course at Skoltech
  ☆22Updated 6 years ago
• kimiandj / gsw
  ☆39Updated 4 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆44Updated 4 years ago
• thomassutter / mmjsd
  Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence
  ☆18Updated 2 years ago
• bpucla / latent-space-EBM-prior
  ☆33Updated 4 years ago
• mboudiaf / Mutual-Information-Variational-Bounds
  A Tensorflow implementation Mutual Information estimation methods
  ☆45Updated last year
• karlstratos / doe
  Difference-of-Entropies (DoE) Estimator
  ☆24Updated 2 years ago
• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆28Updated 5 years ago
• avirmaux / lipEstimation
  ☆57Updated last year
• gibipara92 / learning-explanations-hard-to-vary
  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …
  ☆39Updated 4 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆53Updated 3 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆43Updated last year
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆66Updated 4 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆82Updated last year
• MichaelArbel / GeneralizedEBM
  ☆53Updated 3 months ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 3 years ago
• vivienseguy / Large-Scale-OT
  Stochastic algorithms for computing Regularized Optimal Transport
  ☆55Updated 6 years ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆52Updated last year
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆49Updated 3 months ago
• akandykeller / TopographicVAE
  Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"
  ☆77Updated 2 years ago
• chingyaoc / kV-Margin
  NeurIPS 2021, Code for Measuring Generalization with Optimal Transport
  ☆28Updated 3 years ago
• cscarv / riemannian-metric-learning-ot
  ☆16Updated last year
• dimkal89 / rvae
  ☆36Updated 4 years ago
• claying / OTK
  A Pytorch implementation of the optimal transport kernel embedding
  ☆114Updated 3 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆89Updated 4 years ago
• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆123Updated last year