Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
☆1,968Oct 20, 2023Updated 2 years ago
Alternatives and similar repositories for Bayesian-Neural-Networks
Users that are interested in Bayesian-Neural-Networks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,571Apr 19, 2024Updated 2 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆559Jul 25, 2024Updated last year
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆981Sep 25, 2023Updated 2 years ago
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆11Jan 5, 2026Updated 5 months ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆640Aug 1, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆478Jul 6, 2023Updated 2 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆583Feb 26, 2022Updated 4 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Apr 12, 2022Updated 4 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,576Jun 5, 2026Updated last week
- a repo sharing Bayesian Neural Network recent papers☆217Aug 9, 2019Updated 6 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆473Aug 28, 2024Updated last year
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆276Mar 17, 2022Updated 4 years ago
- ☆239May 23, 2020Updated 6 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,994Mar 5, 2025Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆135Jul 30, 2019Updated 6 years ago
- Bayesian Neural Network in PyTorch☆93May 3, 2024Updated 2 years ago
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 3 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆317Dec 19, 2018Updated 7 years ago
- Papers for Bayesian-NN☆328Jun 25, 2019Updated 6 years ago
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆209Dec 19, 2019Updated 6 years ago
- Building a Bayesian deep learning classifier☆492Oct 30, 2017Updated 8 years ago
- Bayesian Deep Learning: A Survey☆520Oct 10, 2025Updated 8 months ago
- Laplace approximations for Deep Learning.☆544Apr 22, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,888May 29, 2026Updated 2 weeks ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆61Jul 1, 2021Updated 4 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Feb 16, 2018Updated 8 years ago
- Notebooks about Bayesian methods for machine learning☆1,918Mar 6, 2024Updated 2 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆94Oct 28, 2020Updated 5 years ago
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆174Jun 27, 2019Updated 6 years ago
- " Weight Uncertainty in Neural Networks"☆49Jan 31, 2018Updated 8 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆160Jul 23, 2022Updated 3 years ago
- A simple probabilistic programming language.☆708Jan 9, 2026Updated 5 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Bayesian neural network package☆156Jul 6, 2021Updated 4 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Jul 1, 2019Updated 6 years ago
- ☆256Dec 27, 2022Updated 3 years ago
- ☆59Feb 7, 2019Updated 7 years ago
- Bayesian optimization in PyTorch☆3,543Jun 5, 2026Updated last week
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆79Oct 3, 2023Updated 2 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆252Nov 8, 2018Updated 7 years ago