PyTorch implementation of bayesian neural network [torchbnn]
☆563Jul 25, 2024Updated 2 years ago
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☆19Oct 15, 2026Updated 3 weeks ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,574Apr 19, 2024Updated 2 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆985Sep 25, 2023Updated 3 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,979Oct 20, 2023Updated 3 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆474Aug 28, 2024Updated 2 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 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
- Papers for Bayesian-NN☆327Jun 25, 2019Updated 7 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆93May 14, 2024Updated 2 years ago
- Laplace approximations for Deep Learning.☆552Updated this week
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆174Apr 12, 2022Updated 4 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆61Jul 1, 2021Updated 5 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Aug 9, 2019Updated 7 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆532Sep 1, 2026Updated 2 months ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,602Oct 20, 2026Updated 2 weeks 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.
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆584Feb 26, 2022Updated 4 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆478Jul 6, 2023Updated 3 years ago
- ☆110Jun 29, 2021Updated 5 years ago
- Bayesian Deep Learning: A Survey☆523Jul 4, 2026Updated 4 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Jul 23, 2020Updated 6 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆316Dec 19, 2018Updated 7 years ago
- Bayesian neural network package☆154Jul 6, 2021Updated 5 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Jul 1, 2019Updated 7 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
- 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.
- The official implementation of the MC-Dropconnect method for Uncertainty Estimation in DNNs☆17Sep 25, 2020Updated 6 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,935Oct 2, 2026Updated last month
- ☆239May 23, 2020Updated 6 years ago
- Building a Bayesian deep learning classifier☆491Oct 30, 2017Updated 9 years ago
- Simple (and cheap!) neural network uncertainty estimation☆82Oct 7, 2025Updated last year
- A hello world Bayesian Neural Network project on MNIST☆57Apr 21, 2022Updated 4 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆2,023Mar 5, 2025Updated last year
- ☆63Jul 24, 2019Updated 7 years ago
- Notas del curso de Simulación☆13Feb 3, 2026Updated 9 months 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.
- Bayesian Neural Network Surrogates for Bayesian Optimization☆69May 9, 2024Updated 2 years ago
- Bayesian LSTM Implementation in PyTorch☆118Jan 12, 2023Updated 3 years ago
- ☆202Apr 3, 2025Updated last year
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆15Mar 10, 2025Updated last year
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆162Jul 23, 2022Updated 4 years ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆829Oct 20, 2026Updated 2 weeks ago
- Pytorch implementation of Bayesian physics-informed neural networks☆81Sep 13, 2021Updated 5 years ago