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
  ☆415Updated 8 years ago
• sjchoi86 / advanced-tensorflow
  Little More Advanced TensorFlow Implementations
  ☆371Updated 7 years ago
• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆544Updated 2 years ago
• sangwoomo / ml-resources
  Personal and biased selection of ML resources
  ☆150Updated 5 years ago
• ssydasheng / Bayesian_neural_network_papers
  Papers for Bayesian-NN
  ☆323Updated 5 years ago
• kihosuh / nips_2017
  videos, slides, and others from NIPS 2017
  ☆180Updated 7 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆671Updated 2 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 5 years ago
• wookayin / TensorFlowKR-2017-talk-bestpractice
  💬 Slides and Tutorial Codes for the talk 'Toward Best Practices of TensorFlow Code Patterns' (2017)
  ☆153Updated 6 years ago
• kyle-dorman / bayesian-neural-network-blogpost
  Building a Bayesian deep learning classifier
  ☆486Updated 7 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆889Updated last year
• sjchoi86 / dl_tutorials_10weeks
  Deep Learning Tutorials for 10 Weeks
  ☆421Updated 7 years ago
• kmkolasinski / deep-learning-notes
  Experiments with Deep Learning
  ☆1,350Updated 2 years ago
• yaringal / DropoutUncertaintyExps
  Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
  ☆573Updated 3 years ago
• yaringal / ConcreteDropout
  Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
  ☆251Updated 6 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆276Updated 6 years ago
• mcgrady20150318 / BayesianNeuralNetwork
  a repo sharing Bayesian Neural Network recent papers
  ☆216Updated 5 years ago
• yaringal / BayesianRNN
  Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
  ☆378Updated 8 years ago
• Kyubyong / pytorch_exercises
  ☆317Updated 7 years ago
• GunhoChoi / Kind-PyTorch-Tutorial
  Kind PyTorch Tutorial for beginners
  ☆390Updated 7 years ago
• LMescheder / AdversarialVariationalBayes
  This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…
  ☆206Updated 7 years ago
• yaringal / DropoutUncertaintyCaffeModels
  Dropout As A Bayesian Approximation: Code
  ☆202Updated 9 years ago
• nyu-dl / Intro_to_ML_Lecture_Note
  ☆408Updated last year
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 years ago
• rickiepark / awesome-pytorch
  Awesome PyTorch
  ☆283Updated last year
• sjchoi86 / choicenet
  Implementation of ChoiceNet
  ☆127Updated 6 years ago
• nyu-dl / NLP_DL_Lecture_Note
  ☆570Updated 6 years ago
• SeongokRyu / Bayesian-deep-learning
  Notes and codes of the topic "Bayesian deep learning"
  ☆56Updated 6 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆359Updated 5 years ago
• hutec / UncertaintyNN
  Implementation and evaluation of different approaches to get uncertainty in neural networks
  ☆140Updated 7 years ago