Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021
☆16Dec 30, 2022Updated 3 years ago
Alternatives and similar repositories for BNN-predictions
Users that are interested in BNN-predictions are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆49Dec 17, 2019Updated 6 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆19Apr 22, 2022Updated 4 years ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Apr 1, 2022Updated 4 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Nov 10, 2020Updated 5 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆25Dec 8, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆39Jun 21, 2022Updated 4 years ago
- Last-layer Laplace approximation code examples☆82Oct 18, 2021Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆46Jun 6, 2025Updated last year
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92May 14, 2024Updated 2 years ago
- ☆14Sep 11, 2022Updated 4 years ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆31Mar 3, 2021Updated 5 years ago
- Implementation of deep kernels in GPyTorch and Pyro☆13Jan 19, 2021Updated 5 years ago
- ☆13Sep 5, 2023Updated 3 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Jul 12, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Laplace approximations for Deep Learning.☆549Apr 22, 2025Updated last year
- ☆11Oct 15, 2025Updated 11 months ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Sep 25, 2020Updated 6 years ago
- Dirichlet Process Mixture Models in Julia☆14May 31, 2016Updated 10 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- CLI readme viewer for GitHub repositories☆18Sep 26, 2017Updated 9 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Apr 27, 2019Updated 7 years ago
- Noah's master thesis on Quantum Bayesian Neural Networks☆13Aug 2, 2021Updated 5 years ago
- ☆13Aug 15, 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.
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 years ago
- A simple Jax implementation of influence functions.☆21Apr 9, 2024Updated 2 years ago
- [ACL 2021] Learning to Perturb Word Embeddings for Out-of-distribution QA☆16May 11, 2022Updated 4 years ago
- Neat Bayesian machine learning examples☆58Feb 10, 2026Updated 7 months ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Dec 11, 2021Updated 4 years ago
- Code for "DeepPolar codes", ICML 2024☆12May 7, 2024Updated 2 years ago
- Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow☆19Aug 16, 2019Updated 7 years ago
- Pytorch implementation of “MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures” (NeurIPS 2020 spotlight)☆13Jul 22, 2021Updated 5 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆55Jul 19, 2022Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- The PyGpPhs package is designed for utilizing Gaussian Process for port-Hamiltonian system.☆11May 6, 2024Updated 2 years ago
- 🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…☆42Mar 24, 2023Updated 3 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Aug 5, 2022Updated 4 years ago
- Implementation of Neurips 2023 Paper "Multi Time Scale World Models"☆22Nov 8, 2024Updated last year
- Python bindings to some optimization benchmarks (robotics problems), in order to constrained optimization solvers. Includes also an inter…☆21Dec 8, 2022Updated 3 years ago
- We present cod-bench containing 12 operators and 10 datasets.☆11Jun 5, 2024Updated 2 years ago
- PyTorch implementation for Neural Additive Models☆25Dec 2, 2020Updated 5 years ago