A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
☆982Sep 25, 2023Updated 2 years ago
Alternatives and similar repositories for blitz-bayesian-deep-learning
Users that are interested in blitz-bayesian-deep-learning 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 7 months ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,570Apr 19, 2024Updated 2 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆561Jul 25, 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
- Bayesian Deep Learning: A Survey☆521Jul 4, 2026Updated 2 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆159Sep 15, 2022Updated 3 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆2,013Mar 5, 2025Updated last year
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,591Aug 26, 2026Updated last week
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆479Jul 6, 2023Updated 3 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆582Feb 26, 2022Updated 4 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆527Updated this week
- " Weight Uncertainty in Neural Networks"☆49Jan 31, 2018Updated 8 years ago
- Laplace approximations for Deep Learning.☆548Apr 22, 2025Updated last year
- Bayesian Neural Network in PyTorch☆92May 3, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Bayesian Deep Learning Benchmarks☆672Mar 24, 2023Updated 3 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Oct 5, 2021Updated 4 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 highly efficient implementation of Gaussian Processes in PyTorch☆3,906Jul 10, 2026Updated last month
- Bayesian LSTM Implementation in PyTorch☆117Jan 12, 2023Updated 3 years ago
- Bayesian optimization in PyTorch☆3,591Aug 27, 2026Updated last week
- ☆254Dec 27, 2022Updated 3 years ago
- Bayesian LSTM (Tensorflow)☆57Mar 24, 2023Updated 3 years ago
- ☆239May 23, 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.
- A simple probabilistic programming language.☆712Jul 2, 2026Updated 2 months ago
- Notebooks about Bayesian methods for machine learning☆1,917Jul 12, 2026Updated last month
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆642Aug 1, 2022Updated 4 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆249Dec 3, 2019Updated 6 years ago
- ☆17Oct 6, 2020Updated 5 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92May 14, 2024Updated 2 years ago
- Deep universal probabilistic programming with Python and PyTorch☆9,044Updated this week
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆362Oct 12, 2019Updated 6 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆44Sep 23, 2020Updated 5 years ago
- Bayesian neural network package☆154Jul 6, 2021Updated 5 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆520Jan 2, 2024Updated 2 years ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆826Aug 19, 2026Updated 2 weeks ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆61Jul 1, 2021Updated 5 years ago
- Normalizing flows in PyTorch☆1,019Dec 27, 2024Updated last year
- A Python package for building Bayesian models with TensorFlow or PyTorch☆175Updated this week