PyTorch implementation of bayesian neural network [torchbnn]
☆560Jul 25, 2024Updated last year
Alternatives and similar repositories for bayesian-neural-network-pytorch
Users that are interested in bayesian-neural-network-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆11Jan 5, 2026Updated 5 months ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,571Apr 19, 2024Updated 2 years ago
- 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
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆981Sep 25, 2023Updated 2 years ago
- Bayesian Neural Network in PyTorch☆93May 3, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆148Apr 21, 2022Updated 4 years ago
- ☆157Sep 15, 2022Updated 3 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆61Jun 25, 2019Updated 6 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92May 14, 2024Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆61Jul 1, 2021Updated 4 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Apr 12, 2022Updated 4 years ago
- Papers for Bayesian-NN☆328Jun 25, 2019Updated 6 years ago
- ☆110Jun 29, 2021Updated 4 years 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.
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆583Feb 26, 2022Updated 4 years ago
- Bayesian Deep Learning: A Survey☆522Oct 10, 2025Updated 8 months ago
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆508Updated this week
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,576Updated this week
- Bayesian neural network package☆156Jul 6, 2021Updated 4 years ago
- Notebooks about Bayesian methods for machine learning☆1,917Mar 6, 2024Updated 2 years ago
- ☆202Apr 3, 2025Updated last year
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆478Jul 6, 2023Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- 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.
- Bayesian Neural Network Surrogates for Bayesian Optimization☆68May 9, 2024Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆640Aug 1, 2022Updated 3 years ago
- Building a Bayesian deep learning classifier☆492Oct 30, 2017Updated 8 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,891Jun 8, 2026Updated last week
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Jul 1, 2019Updated 6 years ago
- Simple (and cheap!) neural network uncertainty estimation☆82Oct 7, 2025Updated 8 months ago
- Bayesian LSTM Implementation in PyTorch☆116Jan 12, 2023Updated 3 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,996Mar 5, 2025Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆77Sep 13, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A hello world Bayesian Neural Network project on MNIST☆55Apr 21, 2022Updated 4 years ago
- ☆239May 23, 2020Updated 6 years ago
- implement bayesian neural networks on tensorflow.☆17Feb 14, 2020Updated 6 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆160Jul 23, 2022Updated 3 years ago
- Dropout as Regularization and Bayesian Approximation☆56Nov 17, 2018Updated 7 years ago
- " Weight Uncertainty in Neural Networks"☆49Jan 31, 2018Updated 8 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago