Laplace Redux -- Effortless Bayesian Deep Learning
☆47Jun 6, 2025Updated last year
Alternatives and similar repositories for laplace-redux
Users that are interested in laplace-redux are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Laplace approximations for Deep Learning.☆550Updated this week
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆49Dec 17, 2019Updated 6 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Dec 30, 2022Updated 3 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Feb 1, 2022Updated 4 years ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆26Jul 21, 2023Updated 3 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.
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 3 years ago
- ☆10Jul 21, 2021Updated 5 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆192Dec 5, 2024Updated last year
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Dec 11, 2021Updated 4 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆22Nov 16, 2022Updated 3 years ago
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆10Jan 26, 2021Updated 5 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- NUBO is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions developed by the Fluid Dynami…☆14Sep 11, 2025Updated last year
- A community repository for benchmarking Bayesian methods☆11May 25, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Aug 16, 2021Updated 5 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆13Dec 24, 2023Updated 2 years ago
- Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.☆22May 26, 2021Updated 5 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆38Jun 16, 2022Updated 4 years ago
- Python library for real-time vote prediction☆11Mar 7, 2021Updated 5 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks☆14Mar 12, 2023Updated 3 years ago
- Artsy New Tab pages for the masses 🎨☆11May 25, 2022Updated 4 years ago
- [ICML 2024] SIRFShampoo: Structured inverse- and root-free Shampoo in PyTorch (https://arxiv.org/abs/2402.03496)☆15Nov 4, 2024Updated last year
- AI Agents on 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.
- Code for the paper "Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots" (NAACL-HLT 2021)☆10May 1, 2025Updated last year
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆24Sep 15, 2026Updated 2 weeks ago
- ☆113Sep 23, 2022Updated 4 years ago
- Integrals of Gaussians under linear domain constraints☆15Feb 27, 2020Updated 6 years ago
- Code repository is for "Federated Composite Optimization", to appear in ICML 2021☆12May 6, 2022Updated 4 years ago
- projected Stein variational gradient descent☆12Oct 2, 2021Updated 4 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆71Jul 17, 2026Updated 2 months ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆19Jun 8, 2021Updated 5 years ago
- Dirichlet Process Mixture Models in Julia☆14May 31, 2016Updated 10 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Jul 19, 2023Updated 3 years ago
- ☆12Jul 30, 2025Updated last year
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆86Apr 5, 2023Updated 3 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆17Oct 21, 2020Updated 5 years ago
- This repository collects supplementary material to study reinforcement learning with a focus on topics covered by the TU Darmstadt IAS le…☆12Feb 11, 2019Updated 7 years ago
- 基于似然场配准和栅格地图的2d-SLAM,并实现基于子地图的金字塔式回环闭合策略。☆11Jul 2, 2024Updated 2 years ago
- Implementation of different Relative Entropy Policy Search flavors☆13Nov 15, 2021Updated 4 years ago