PyTorch implementation of bayesian neural network [torchbnn]
☆562Jul 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☆17Jan 5, 2026Updated 8 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☆1,969Oct 20, 2023Updated 2 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆984Sep 25, 2023Updated 2 years ago
- Bayesian Neural Network in PyTorch☆93May 3, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆473Aug 28, 2024Updated 2 years ago
- ☆159Sep 15, 2022Updated 3 years ago
- 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
- 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 5 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆175Apr 12, 2022Updated 4 years ago
- Papers for Bayesian-NN☆327Jun 25, 2019Updated 7 years ago
- ☆109Jun 29, 2021Updated 5 years ago
- Laplace approximations for Deep Learning.☆549Apr 22, 2025Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆582Feb 26, 2022Updated 4 years ago
- Bayesian Deep Learning: A Survey☆521Jul 4, 2026Updated 2 months ago
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆527Updated this week
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,592Aug 26, 2026Updated last week
- Bayesian neural network package☆154Jul 6, 2021Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Jul 23, 2020Updated 6 years ago
- Notebooks about Bayesian methods for machine learning☆1,917Jul 12, 2026Updated last month
- ☆202Apr 3, 2025Updated last year
- a repo sharing Bayesian Neural Network recent papers☆216Aug 9, 2019Updated 7 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.
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆642Aug 1, 2022Updated 4 years ago
- Building a Bayesian deep learning classifier☆491Oct 30, 2017Updated 8 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆68May 9, 2024Updated 2 years ago
- Notas del curso de Simulación☆13Feb 3, 2026Updated 7 months ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,908Jul 10, 2026Updated last month
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Jul 1, 2019Updated 7 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆2,013Mar 5, 2025Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆79Sep 13, 2021Updated 4 years ago
- A hello world Bayesian Neural Network project on MNIST☆57Apr 21, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Detailed implementations, Jupyter tutorials and complete packages to implement and test Probabilistic Bayesian Deep Learning models. The …☆11Mar 24, 2026Updated 5 months ago
- ☆239May 23, 2020Updated 6 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆162Jul 23, 2022Updated 4 years ago
- implement bayesian neural networks on tensorflow.☆17Feb 14, 2020Updated 6 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆33Jul 25, 2024Updated 2 years ago
- Dropout as Regularization and Bayesian Approximation☆57Nov 17, 2018Updated 7 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago