Alternatives and similar repositories for MI-NEE:

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

• mboudiaf / Mutual-Information-Variational-Bounds
  A Tensorflow implementation Mutual Information estimation methods
  ☆47Updated 2 years ago
• ermongroup / smile-mi-estimator
  PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"
  ☆74Updated 5 years ago
• alexalemi / vib_demo
  ☆90Updated 3 years ago
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 5 years ago
• MasanoriYamada / Mine_pytorch
  MINE: Mutual Information Neural Estimation in pytorch (unofficial)
  ☆204Updated 6 years ago
• burklight / nonlinear-IB-PyTorch
  Pytorch Implementation of the Nonlinear Information Bottleneck
  ☆39Updated 9 months ago
• 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
• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆87Updated 3 years ago
• stevenliuyi / information-bottleneck
  demonstration of the information bottleneck theory for deep learning
  ☆61Updated 7 years ago
• Saswatm123 / MMD-VAE
  Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…
  ☆56Updated 4 years ago
• divymurli / VAEs
  Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)
  ☆46Updated 5 years ago
• avirmaux / lipEstimation
  ☆58Updated 2 years ago
• kimiandj / gsw
  ☆39Updated 5 years ago
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆60Updated 2 years ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆47Updated 5 years ago
• gtegner / mine-pytorch
  Mutual Information Neural Estimation in Pytorch
  ☆321Updated 7 months ago
• Baichenjia / MINE
  Mutual Information Neural Estimation (Pytorch)
  ☆12Updated 4 years ago
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆88Updated 4 years ago
• makezur / information_bottleneck_pytorch
  Project for the Large Scale Optimization course at Skoltech
  ☆22Updated 6 years ago
• fengliu90 / DK-for-TST
  This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).
  ☆49Updated 3 years ago
• 1Konny / WAE-pytorch
  ☆68Updated 6 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 4 years ago
• karlstratos / doe
  Difference-of-Entropies (DoE) Estimator
  ☆25Updated 3 years ago
• choasma / HSIC-bottleneck
  The HSIC Bottleneck: Deep Learning without Back-Propagation
  ☆86Updated 4 years ago
• alexlyzhov / latent-subspaces
  Implementation of "Learning latent subspaces in variational autoencoders"
  ☆20Updated 5 years ago
• db-Lee / Meta-GMVAE
  ☆40Updated 3 years ago
• 1Konny / VIB-pytorch
  Pytorch implementation of Deep Variational Information Bottleneck
  ☆187Updated 7 years ago
• vislearn / GIN
  Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)
  ☆32Updated 3 years ago
• dcmoyer / inv-rep
  Code for Invariant Rep. Without Adversaries (NIPS 2018)
  ☆35Updated 5 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆91Updated 4 years ago