krasserm / bayesian-machine-learningLinks
Notebooks about Bayesian methods for machine learning
☆1,912Updated last year
Alternatives and similar repositories for bayesian-machine-learning
Users that are interested in bayesian-machine-learning are comparing it to the libraries listed below
Sorting:
- Practical assignments of the Deep|Bayes summer school 2019☆834Updated 5 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,824Updated this week
- Gaussian processes framework in python☆2,140Updated 7 months ago
- Gaussian processes in TensorFlow☆1,901Updated 8 months ago
- Gaussian Process Optimization using GPy☆948Updated 3 years ago
- Bayesian optimization in PyTorch☆3,454Updated this week
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,976Updated 11 months ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,562Updated last year
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆978Updated 2 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,952Updated 2 years ago
- A Python implementation of global optimization with gaussian processes.☆8,543Updated last month
- Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms☆639Updated 2 years ago
- Bayesian Deep Learning Benchmarks☆671Updated 2 years ago
- Python library for Causal AI☆3,148Updated this week
- A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…☆643Updated last month
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,014Updated 5 years ago
- Bayesian Analysis with Python (Second Edition)☆676Updated 2 years ago
- Seminars DeepBayes Summer School 2018☆1,047Updated 6 years ago
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,407Updated this week
- Course notes for CS228: Probabilistic Graphical Models.☆1,990Updated 7 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,811Updated last year
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆316Updated 7 years ago
- A curated list of gradient boosting research papers with implementations.☆1,039Updated last month
- Python code for bayesian optimization using Gaussian processes☆314Updated 9 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆639Updated 3 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆561Updated 2 years ago
- ☆916Updated 2 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆552Updated last year
- Tutorials on Causal Inference and pgmpy☆388Updated 6 months ago
- A simple probabilistic programming language.☆707Updated 3 weeks ago