Alternatives and similar repositories for bayesian-machine-learning

Users that are interested in bayesian-machine-learning are comparing it to the libraries listed below

• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,897Updated 7 months ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆835Updated 5 years ago
• JavierAntoran / Bayesian-Neural-Networks
  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
  ☆1,951Updated 2 years ago
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,816Updated last week
• uncertainty-toolbox / uncertainty-toolbox
  Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
  ☆1,963Updated 10 months ago
• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,441Updated this week
• kumar-shridhar / PyTorch-BayesianCNN
  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
  ☆1,554Updated last year
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆949Updated 2 years ago
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,137Updated 6 months ago
• piEsposito / blitz-bayesian-deep-learning
  A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
  ☆978Updated 2 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆671Updated 2 years ago
• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,047Updated 6 years ago
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,990Updated 6 months ago
• Harry24k / bayesian-neural-network-pytorch
  PyTorch implementation of bayesian neural network [torchbnn]
  ☆552Updated last year
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,401Updated last week
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,011Updated 4 years ago
• paraschopra / bayesian-neural-network-mnist
  Bayesian neural network using Pyro and PyTorch on MNIST dataset
  ☆315Updated 7 years ago
• lopusz / awesome-interpretable-machine-learning
  ☆919Updated 2 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆314Updated 9 years ago
• EmuKit / emukit
  A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…
  ☆643Updated last week
• pgmpy / pgmpy
  Python library for Causal AI
  ☆3,133Updated 3 weeks ago
• kyle-dorman / bayesian-neural-network-blogpost
  Building a Bayesian deep learning classifier
  ☆493Updated 8 years ago
• AlaaLab / deep-learning-uncertainty
  Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…
  ☆637Updated 3 years ago
• aloctavodia / BAP
  Bayesian Analysis with Python (Second Edition)
  ☆676Updated 2 years ago
• google / edward2
  A simple probabilistic programming language.
  ☆704Updated 4 months ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,366Updated last year
• kmkolasinski / deep-learning-notes
  Experiments with Deep Learning
  ☆1,353Updated 2 years ago
• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆541Updated 5 years ago
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆637Updated 2 years ago
• bayesian-optimization / BayesianOptimization
  A Python implementation of global optimization with gaussian processes.
  ☆8,516Updated 2 weeks ago