Alternatives and similar repositories for MI-NEE

Users that are interested in MI-NEE are comparing it to the libraries listed below

• ermongroup / smile-mi-estimator
  PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"
  ☆77Updated 5 years ago
• alexalemi / vib_demo
  ☆93Updated 3 years ago
• MasanoriYamada / Mine_pytorch
  MINE: Mutual Information Neural Estimation in pytorch (unofficial)
  ☆207Updated 7 years ago
• mboudiaf / Mutual-Information-Variational-Bounds
  A Tensorflow implementation Mutual Information estimation methods
  ☆48Updated 2 years ago
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆35Updated 6 years ago
• gtegner / mine-pytorch
  Mutual Information Neural Estimation in Pytorch
  ☆349Updated last year
• yatindandi / Disentangled-Sequential-Autoencoder
  Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…
  ☆106Updated 6 years ago
• sungyubkim / MINE-Mutual-Information-Neural-Estimation-
  A pytorch implementation of MINE(Mutual Information Neural Estimation)
  ☆350Updated 6 years ago
• kimiandj / gsw
  ☆42Updated 5 years ago
• 1Konny / VIB-pytorch
  Pytorch implementation of Deep Variational Information Bottleneck
  ☆209Updated 7 years ago
• divymurli / VAEs
  Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)
  ☆47Updated 5 years ago
• choasma / HSIC-bottleneck
  The HSIC Bottleneck: Deep Learning without Back-Propagation
  ☆91Updated 5 years ago
• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆87Updated 4 years ago
• nhartland / KL-divergence-estimators
  Testing methods for estimating KL-divergence from samples.
  ☆70Updated this week
• timlautk / BCD-for-DNNs-PyTorch
  Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
  ☆37Updated 6 years ago
• stevenliuyi / information-bottleneck
  demonstration of the information bottleneck theory for deep learning
  ☆68Updated 8 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆87Updated 7 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆92Updated 5 years ago
• AKuzina / attack_vae
  Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
  ☆13Updated 3 years ago
• is0383kk / Dirichlet-VAE
  Dirichlet-Variational Auto-Encoder by PyTorch
  ☆23Updated 3 months ago
• Baichenjia / MINE
  Mutual Information Neural Estimation (Pytorch)
  ☆13Updated 5 years ago
• 1Konny / WAE-pytorch
  ☆66Updated 6 years ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆50Updated 6 years ago
• burklight / nonlinear-IB-PyTorch
  Pytorch Implementation of the Nonlinear Information Bottleneck
  ☆41Updated last year
• jariasf / GMVAE
  Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering
  ☆351Updated 5 years ago
• xqding / Importance_Weighted_Autoencoders
  A PyTorch Implementation of the Importance Weighted Autoencoders
  ☆39Updated 7 years ago
• DakshIdnani / pytorch-nice
  Implementation of non-linear independent components estimation (NICE) in pytorch
  ☆53Updated 5 years ago
• bunnech / gwgan
  Learning Generative Models across Incomparable Spaces (ICML 2019)
  ☆27Updated 5 years ago
• GuHY777 / VaDE-pytorch
  the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch
  ☆140Updated 2 years ago
• fengliu90 / DK-for-TST
  This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).
  ☆52Updated 4 years ago