Alternatives and similar repositories for InformationTheory:

Users that are interested in InformationTheory are comparing it to the libraries listed below

• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• emtiyaz / vmp-for-svae
  Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)
  ☆44Updated 6 years ago
• mperezortiz / PBB
  PAC-Bayes with Backprop - Tighter risk certificates for neural networks
  ☆24Updated 3 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆72Updated 8 years ago
• offconvex / offconvex.github.io
  Off the convex path
  ☆67Updated 2 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 6 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 4 years ago
• glouppe / paper-avo
  Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"
  ☆16Updated 6 years ago
• JarnoRFB / incense
  Interactively retrieve data from sacred experiments.
  ☆82Updated 2 weeks ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆41Updated 5 years ago
• BasicProbability / LectureNotes
  Lecture Notes (with exercises) for Basic Probability course at University of Amsterdam
  ☆18Updated 6 years ago
• akshaykgupta / SG_MCMC
  Implementation of Stochastic Gradient MCMC algorithms
  ☆40Updated 8 years ago
• mrtzh / unbuch
  Compile markdown into an html and pdf book based on pandoc.
  ☆187Updated 3 years ago
• rfeinman / pyBPL
  Python implementation of Bayesian Program Learning tools (with PyTorch)
  ☆72Updated 2 years ago
• RuiShu / vae-experiments
  Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…
  ☆62Updated 8 years ago
• ICLR / iclr.github.io
  ☆83Updated 4 years ago
• fabianp / overview_optalgs
  ☆30Updated 4 years ago
• brain-research / ncp
  Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
  ☆63Updated 4 years ago
• ssydasheng / Neural-Kernel-Network
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Updated 6 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆131Updated 5 years ago
• akosiorek / forge
  Basic experiment framework for tensorflow.
  ☆92Updated 3 years ago
• piantado / LOTlib
  Lanugage of Thought (LOT) models in Python.
  ☆34Updated 4 years ago
• henripal / sgld
  ☆59Updated 6 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆63Updated 6 years ago
• ServiceNow / synbols
  The Synbols dataset generator is a ServiceNow Research project that was started at Element AI.
  ☆44Updated last year
• IraKorshunova / bruno
  a deep recurrent model for exchangeable data
  ☆34Updated 4 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆77Updated 2 years ago
• automl / labwatch
  An extension to Sacred for automated hyperparameter optimization.
  ☆59Updated 7 years ago
• simomarsili / ndd
  Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm
  ☆48Updated 4 years ago
• jaanli / proximity_vi
  This code accompanies the proximity variational inference paper.
  ☆18Updated 6 years ago