robi56 / awesome-bayesian-deep-learning

Related projects ⓘ

Alternatives and complementary repositories for awesome-bayesian-deep-learning

• sjchoi86 / bayes-nn
  Lecture notes on Bayesian deep learning
  ☆480Updated 6 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆359Updated 5 years ago
• yaringal / BayesianRNN
  Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
  ☆376Updated 7 years ago
• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆538Updated last year
• yaringal / DropoutUncertaintyCaffeModels
  Dropout As A Bayesian Approximation: Code
  ☆199Updated 9 years ago
• hindupuravinash / nips2016
  A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
  ☆224Updated 7 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆182Updated 5 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆887Updated 6 months ago
• vasiloglou / mltrain-nips-2017
  This repository contains all the material for the MLTrain NIPS workshop
  ☆247Updated 6 years ago
• kihosuh / nips_2017
  videos, slides, and others from NIPS 2017
  ☆180Updated 6 years ago
• RuiShu / nn-bayesian-optimization
  We use a modified neural network instead of Gaussian process for Bayesian optimization.
  ☆107Updated 7 years ago
• GokuMohandas / fast-weights
  🏃 Implementation of Using Fast Weights to Attend to the Recent Past.
  ☆268Updated 5 years ago
• poolio / unrolled_gan
  Unrolled Generative Adversarial Networks
  ☆291Updated 6 years ago
• JianGoForIt / YellowFin_Pytorch
  auto-tuning momentum SGD optimizer
  ☆287Updated 5 years ago
• yburda / iwae
  Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
  ☆204Updated 8 years ago
• mcgrady20150318 / BayesianNeuralNetwork
  a repo sharing Bayesian Neural Network recent papers
  ☆215Updated 5 years ago
• ssydasheng / Bayesian_neural_network_papers
  Papers for Bayesian-NN
  ☆314Updated 5 years ago
• mirceamironenco / BayesianRecurrentNN
  Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
  ☆217Updated 5 years ago
• hmishra2250 / NTM-One-Shot-TF
  One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow
  ☆244Updated 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
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 4 years ago
• Kaixhin / Autoencoders
  Torch implementations of various types of autoencoders
  ☆469Updated 7 years ago
• ReactiveCJ / BayesianLearning
  Bayesian Machine Learning
  ☆206Updated 2 years ago
• karpathy / paper-notes
  Random notes on papers, likely a short-term repo.
  ☆669Updated 7 years ago
• Kyubyong / pytorch_exercises
  ☆315Updated 7 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆202Updated 2 years ago
• kumar-shridhar / Master-Thesis-BayesianCNN
  Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
  ☆263Updated 5 years ago
• ajbrock / SMASH
  An experimental technique for efficiently exploring neural architectures.
  ☆489Updated 7 years ago
• IshmaelBelghazi / ALI
  Adversarially Learned Inference
  ☆311Updated 6 years ago
• openai / iaf
  Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
  ☆518Updated 5 years ago