Alternatives and similar repositories for bayes-nn:

Users that are interested in bayes-nn are comparing it to the libraries listed below

• robi56 / awesome-bayesian-deep-learning
  A curated list of resources dedicated to bayesian deep learning
  ☆413Updated 7 years ago
• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆539Updated last year
• ssydasheng / Bayesian_neural_network_papers
  Papers for Bayesian-NN
  ☆318Updated 5 years ago
• sjchoi86 / advanced-tensorflow
  Little More Advanced TensorFlow Implementations
  ☆370Updated 7 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆666Updated last year
• kihosuh / nips_2017
  videos, slides, and others from NIPS 2017
  ☆180Updated 6 years ago
• LMescheder / AdversarialVariationalBayes
  This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…
  ☆206Updated 6 years ago
• GunhoChoi / Kind-PyTorch-Tutorial
  Kind PyTorch Tutorial for beginners
  ☆392Updated 7 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 4 years ago
• nmhkahn / pytorch-exercise
  Practical Exercise Codes for PyTorch
  ☆271Updated 6 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆887Updated 8 months ago
• wohlert / semi-supervised-pytorch
  Implementations of various VAE-based semi-supervised and generative models in PyTorch
  ☆707Updated 4 years ago
• yaringal / BayesianRNN
  Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
  ☆376Updated 7 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆359Updated 5 years ago
• logangraham / arXausality
  A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
  ☆415Updated 4 years ago
• mcgrady20150318 / BayesianNeuralNetwork
  a repo sharing Bayesian Neural Network recent papers
  ☆215Updated 5 years ago
• kmkolasinski / deep-learning-notes
  Experiments with Deep Learning
  ☆1,347Updated last year
• SeongokRyu / Bayesian-deep-learning
  Notes and codes of the topic "Bayesian deep learning"
  ☆56Updated 6 years ago
• yaringal / DropoutUncertaintyExps
  Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
  ☆564Updated 2 years ago
• napsternxg / pytorch-practice
  Some example scripts on pytorch
  ☆197Updated 3 years ago
• sjchoi86 / dl_tutorials_10weeks
  Deep Learning Tutorials for 10 Weeks
  ☆420Updated 7 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆183Updated 5 years ago
• rickiepark / awesome-pytorch
  Awesome PyTorch
  ☆279Updated 11 months ago
• nyu-dl / Intro_to_ML_Lecture_Note
  ☆398Updated last year
• sjchoi86 / choicenet
  Implementation of ChoiceNet
  ☆128Updated 6 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆830Updated 4 years ago
• hoangcuong2011 / Good-Papers
  I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my not…
  ☆284Updated 5 years ago
• yaringal / ConcreteDropout
  Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
  ☆248Updated 6 years ago
• khanrc / tf.gans-comparison
  Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking
  ☆466Updated 6 years ago
• kyle-dorman / bayesian-neural-network-blogpost
  Building a Bayesian deep learning classifier
  ☆487Updated 7 years ago