PyTorch implementation of bayesian neural network [torchbnn]
☆554Jul 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:
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,569Apr 19, 2024Updated last year
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,963Oct 20, 2023Updated 2 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆981Sep 25, 2023Updated 2 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆467Aug 28, 2024Updated last year
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆142Apr 21, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆157Sep 15, 2022Updated 3 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆61Jun 25, 2019Updated 6 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆60Jul 1, 2021Updated 4 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Apr 12, 2022Updated 3 years ago
- Papers for Bayesian-NN☆328Jun 25, 2019Updated 6 years ago
- ☆110Jun 29, 2021Updated 4 years ago
- Laplace approximations for Deep Learning.☆537Apr 22, 2025Updated 11 months ago
- Bayesian Deep Learning: A Survey☆519Oct 10, 2025Updated 5 months ago
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆484Mar 19, 2026Updated last week
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆316Dec 19, 2018Updated 7 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,569Feb 2, 2026Updated last month
- Bayesian neural network package☆156Jul 6, 2021Updated 4 years ago
- ☆202Apr 3, 2025Updated 11 months ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆477Jul 6, 2023Updated 2 years ago
- Notebooks about Bayesian methods for machine learning☆1,913Mar 6, 2024Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆67May 9, 2024Updated last year
- a repo sharing Bayesian Neural Network recent papers☆216Aug 9, 2019Updated 6 years ago
- 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.
- Building a Bayesian deep learning classifier☆492Oct 30, 2017Updated 8 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆638Aug 1, 2022Updated 3 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,853Mar 12, 2026Updated 2 weeks ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Jul 1, 2019Updated 6 years ago
- Bayesian LSTM Implementation in PyTorch☆116Jan 12, 2023Updated 3 years ago
- Simple (and cheap!) neural network uncertainty estimation☆79Oct 7, 2025Updated 5 months ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,978Mar 5, 2025Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆73Sep 13, 2021Updated 4 years ago
- implement bayesian neural networks on tensorflow.☆17Feb 14, 2020Updated 6 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.
- ☆238May 23, 2020Updated 5 years ago
- A hello world Bayesian Neural Network project on MNIST☆54Apr 21, 2022Updated 3 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆158Jul 23, 2022Updated 3 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆32Jul 25, 2024Updated last year
- ☆63Jul 24, 2019Updated 6 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