Alternatives and similar repositories for smile-mi-estimator:

Users that are interested in smile-mi-estimator are comparing it to the libraries listed below

• mboudiaf / Mutual-Information-Variational-Bounds
  A Tensorflow implementation Mutual Information estimation methods
  ☆46Updated last year
• alexalemi / vib_demo
  ☆89Updated 3 years ago
• karlstratos / doe
  Difference-of-Entropies (DoE) Estimator
  ☆25Updated 2 years ago
• 1Konny / VIB-pytorch
  Pytorch implementation of Deep Variational Information Bottleneck
  ☆183Updated 6 years ago
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆100Updated 5 years ago
• 1Konny / WAE-pytorch
  ☆68Updated 5 years ago
• MasanoriYamada / Mine_pytorch
  MINE: Mutual Information Neural Estimation in pytorch (unofficial)
  ☆203Updated 6 years ago
• zhouyiji / MIGE
  Mutual Information Gradient Estimation
  ☆12Updated 3 years ago
• avirmaux / lipEstimation
  ☆58Updated last year
• Saswatm123 / MMD-VAE
  Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…
  ☆55Updated 4 years ago
• reiinakano / invariant-risk-minimization
  Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
  ☆85Updated 5 years ago
• fengliu90 / DK-for-TST
  This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).
  ☆48Updated 3 years ago
• makezur / information_bottleneck_pytorch
  Project for the Large Scale Optimization course at Skoltech
  ☆22Updated 6 years ago
• ccha23 / MI-NEE
  Mutual Information Neural Entropic Estimation
  ☆27Updated last year
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆101Updated 6 years ago
• stevenliuyi / information-bottleneck
  demonstration of the information bottleneck theory for deep learning
  ☆61Updated 7 years ago
• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 2 years ago
• conormdurkan / neural-statistician
  PyTorch Implementation of Neural Statistician
  ☆60Updated 3 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆118Updated 3 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆91Updated 4 years ago
• benrhodes26 / tre_code
  ☆23Updated 3 years ago
• tjoo512 / belief-matching-framework
  Belief matching framework official implementation
  ☆39Updated last year
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆83Updated 2 years ago
• wgrathwohl / LSD
  Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
  ☆49Updated 4 years ago
• capybaralet / REx_code_release
  ☆64Updated 4 years ago
• 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
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 4 years ago
• PolinaKirichenko / flows_ood
  ☆87Updated 3 years ago
• bunnech / gwgan
  Learning Generative Models across Incomparable Spaces (ICML 2019)
  ☆27Updated 4 years ago