Alternatives and similar repositories for Information-bottleneck

Users that are interested in Information-bottleneck are comparing it to the libraries listed below

• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• YixuanLi / convergent_learning
  Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
  ☆86Updated 9 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆41Updated 8 years ago
• mlresearch / v80
  Proceedings of ICML 2018
  ☆39Updated 3 months ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 7 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 6 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 6 years ago
• DanielSlater / Net2Net
  numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641
  ☆53Updated 9 years ago
• pawni / BayesByHypernet
  Code for the paper Implicit Weight Uncertainty in Neural Networks
  ☆65Updated 6 years ago
• lmzintgraf / DeepVis-PredDiff
  Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
  ☆121Updated 8 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 8 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 8 years ago
• AMLab-Amsterdam / MNF_VBNN
  Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks
  ☆66Updated 5 years ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆42Updated 6 years ago
• liyu95 / NN_decision_boundary
  On the decision boundary of deep neural networks
  ☆38Updated 7 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆145Updated 6 years ago
• ucla-vision / parle
  ☆38Updated 7 years ago
• Smerity / search_iclr_2018
  ☆79Updated 7 years ago
• renmengye / meta-optim-public
  Understanding Short-Horizon Bias in Stochastic Meta-Optimization
  ☆37Updated 7 years ago
• goodfeli / forgetting
  Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…
  ☆69Updated 11 years ago
• MaestroGraph / sparse-hyper
  Code for the paper "Learning sparse transformations through backpropagation"
  ☆43Updated 5 years ago
• facebookresearch / noise-as-targets
  Unsupervised Learning by Predicting Noise
  ☆90Updated 4 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆57Updated 7 years ago
• shreyassaxena / convolutional-neural-fabrics
  Architecture learning for CNN's
  ☆37Updated 8 years ago
• javiergonzalezh / dpp
  Python package to sample from determinantal point processes
  ☆18Updated 10 years ago
• ChengtaoLi / dan
  Demo code for the paper ''Distributional Adversarial Networks''
  ☆19Updated 7 years ago
• lopezpaz / distillation_privileged_information
  Code for "Unifying distillation and privileged information" (ICLR 2016).
  ☆48Updated 9 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 9 years ago