A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"
☆62Nov 1, 2023Updated 2 years ago
Alternatives and similar repositories for Bayesian-Neural-Networks-Reading-List
Users that are interested in Bayesian-Neural-Networks-Reading-List 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 Low-Rank Adaptation for Large Language Models☆41Jun 22, 2024Updated 2 years ago
- PyTorch implementation of Probabilistic MIMO U-Net☆22Aug 15, 2024Updated last year
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Apr 4, 2019Updated 7 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 3 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.
- This repository contains an official implementation of LPBNN.☆38Jun 28, 2023Updated 3 years ago
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- ☆15Dec 7, 2021Updated 4 years ago
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆17Jan 6, 2026Updated 6 months ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆19Apr 22, 2022Updated 4 years ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆31May 15, 2024Updated 2 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆17Jun 18, 2026Updated 2 weeks 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.
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆16Aug 7, 2017Updated 8 years ago
- Spatial Interpolation in Python☆13Oct 28, 2023Updated 2 years ago
- Code for enumerating and evaluating numerical methods for Langevin dynamics using near-equilibrium estimates of the KL-divergence. Accomp…☆13Mar 28, 2018Updated 8 years ago
- ☆17Jun 18, 2024Updated 2 years ago
- Bayesian low-rank adaptation for large language models☆29May 4, 2024Updated 2 years ago
- This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf☆20Dec 15, 2019Updated 6 years ago
- Python solver for the Brownian, Stochastic, or Noisy Differential Equations☆12Jul 12, 2018Updated 7 years ago
- A simulation framework for nonequilibrium statistical physics☆11Jul 30, 2024Updated last year
- Neural Diffusion Processes☆83Aug 4, 2024Updated last year
- 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.
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆514Updated this week
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆473Aug 28, 2024Updated last year
- Official code for the paper "Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation"☆11Aug 25, 2023Updated 2 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Mar 31, 2021Updated 5 years ago
- Bayesian inference on spatial and spatiotemporal data, faster than you can say "Cholesky!"☆15Jun 24, 2026Updated last week
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92May 14, 2024Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆45Jun 6, 2025Updated last year
- [BMVC 2022] MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks☆35Jun 21, 2024Updated 2 years ago
- Bayesian Bandits☆71Sep 3, 2023Updated 2 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.
- A python code to calculate the Brownian motion of colloidal particles in a time varying force field.☆21Nov 16, 2024Updated last year
- Dewey Data Inc. Python API☆15Jul 2, 2025Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Sep 26, 2023Updated 2 years ago
- Code for the experiments in the ACL 2020 paper "Estimating predictive uncertainty for rumour verification models"☆11May 15, 2020Updated 6 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆131Aug 16, 2022Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Jun 17, 2024Updated 2 years ago
- ☆15Feb 25, 2018Updated 8 years ago