A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
☆19Oct 15, 2026Updated 2 weeks ago
Alternatives and similar repositories for bayesian-torch
Users that are interested in bayesian-torch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of bayesian neural network [torchbnn]☆563Jul 25, 2024Updated 2 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆986Sep 25, 2023Updated 3 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,978Oct 20, 2023Updated 3 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,574Apr 19, 2024Updated 2 years ago
- ☆159Sep 15, 2022Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆532Sep 1, 2026Updated last month
- Bayesianize: A Bayesian neural network wrapper in pytorch☆93May 14, 2024Updated 2 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆2,022Mar 5, 2025Updated last year
- Laplace approximations for Deep Learning.☆551Updated this week
- Code for the paper "Bayesian Neural Network Priors Revisited"☆61Jul 1, 2021Updated 5 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆478Jul 6, 2023Updated 3 years ago
- Bayesian Deep Learning: A Survey☆523Jul 4, 2026Updated 3 months ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,603Oct 20, 2026Updated last week
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years 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.
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆149Apr 21, 2022Updated 4 years ago
- ☆110Jun 29, 2021Updated 5 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆276Oct 24, 2024Updated 2 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆473Aug 28, 2024Updated 2 years ago
- A Library for Uncertainty Quantification.☆929Apr 23, 2025Updated last year
- Repository for UAI 2021 paper "Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fail at Reliable OOD Detection".☆10Feb 3, 2022Updated 4 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆641Aug 1, 2022Updated 4 years ago
- Bayesian Low-Rank Adaptation for Large Language Models☆44Jun 22, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆239May 23, 2020Updated 6 years ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆47Jun 6, 2025Updated last year
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆521Jan 2, 2024Updated 2 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆529Aug 31, 2021Updated 5 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆115Jun 7, 2022Updated 4 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆75Feb 12, 2020Updated 6 years ago
- Bayesian LSTM Implementation in PyTorch☆118Jan 12, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- Repository for the paper Tackling covariate shift with node-based Bayesian neural networks (ICML 2022 oral)☆11Jul 16, 2024Updated 2 years ago
- A library for uncertainty quantification based on PyTorch☆119Jan 10, 2022Updated 4 years ago
- Papers for Bayesian-NN☆327Jun 25, 2019Updated 7 years ago
- Deep universal probabilistic programming with Python and PyTorch☆9,072Oct 5, 2026Updated 3 weeks ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆270Sep 16, 2026Updated last month
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆175Jun 27, 2019Updated 7 years ago