IVON optimizer for neural networks based on variational learning.
☆92Nov 7, 2024Updated last year
Alternatives and similar repositories for ivon
Users that are interested in ivon 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.☆549Apr 22, 2025Updated last year
- Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"☆23Oct 18, 2023Updated 2 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
- Implementation of different Relative Entropy Policy Search flavors☆13Nov 15, 2021Updated 4 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆17Feb 1, 2022Updated 4 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.
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆49Dec 17, 2019Updated 6 years ago
- ☆13Aug 15, 2024Updated 2 years ago
- Approximate Bayesian Inference Toolkit (Python, C++)☆14Apr 16, 2014Updated 12 years ago
- Pytorch-like dataloaders for JAX.☆105Dec 16, 2025Updated 8 months ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Dec 30, 2022Updated 3 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆71Jul 17, 2026Updated last month
- Replication code for Continuous Diffusion for Mixed-Type Tabular Data [ICLR 2025]☆14Aug 20, 2026Updated 2 weeks ago
- Unofficial implementation of Variational Diffusion Models in PyTorch (Lightning)☆12Aug 31, 2023Updated 3 years ago
- Score-based Diffusion models in JAX.☆19Dec 29, 2025Updated 8 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆13Dec 17, 2021Updated 4 years ago
- Learning to Skip the Middle Layers of Transformers☆17Aug 7, 2025Updated last year
- A Simple Statistical Distribution Library in JAX☆16Mar 30, 2024Updated 2 years ago
- ☆16May 30, 2023Updated 3 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Sep 15, 2025Updated 11 months ago
- Have fun!☆34Jul 28, 2026Updated last month
- Probabilistic programming for dynamical systems! Supports models with NumPyro, deterministic & stochastic systems, discrete- and continuo…☆57Updated this week
- Efficient, lightweight variational inference and approximation bounds☆47Oct 17, 2025Updated 10 months ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 3 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.
- Uncertainty quantification with PyTorch☆386Aug 28, 2026Updated last week
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Jun 15, 2021Updated 5 years ago
- ☆19Feb 11, 2022Updated 4 years ago
- Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)☆12Aug 16, 2023Updated 3 years ago
- Functional Regularisation for Continual Learning with Gaussian Processes☆15Oct 24, 2020Updated 5 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Jul 6, 2021Updated 5 years ago
- ☆13Jul 24, 2025Updated last year
- Code for Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles [AISTATS'23]☆13Jul 28, 2023Updated 3 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆19Apr 22, 2022Updated 4 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.☆25Mar 22, 2024Updated 2 years ago
- ☆13Sep 13, 2023Updated 2 years ago
- Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration☆12Jun 8, 2018Updated 8 years ago
- Mutual information estimators and benchmark☆63Sep 16, 2025Updated 11 months ago
- Step size adaptation for the No-U-Turn Sampler☆29Nov 25, 2025Updated 9 months ago
- JAX implementation of the Mistral 7b v0.2 model☆35Jul 3, 2024Updated 2 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Apr 23, 2025Updated last year