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:
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆26Jul 21, 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
- Laplace approximations for Deep Learning.☆547Apr 22, 2025Updated last year
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆17Feb 1, 2022Updated 4 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆68Updated this week
- 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.
- ☆17Dec 11, 2022Updated 3 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆15Dec 30, 2022Updated 3 years ago
- Implementation of Computer Vision Models in JAX (equinox)☆23Updated this week
- ☆13Dec 17, 2021Updated 4 years ago
- Code for Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles [AISTATS'23]☆13Jul 28, 2023Updated 2 years ago
- Code for implementing central flows☆47Sep 5, 2025Updated 10 months ago
- ☆11Sep 16, 2021Updated 4 years ago
- ☆16May 30, 2023Updated 3 years ago
- Stochastic Gradient MCMC for Jax☆19May 19, 2025Updated last year
- 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.
- Score-based Diffusion models in JAX.☆19Dec 29, 2025Updated 6 months ago
- ☆18Aug 6, 2024Updated last year
- ☆19Mar 4, 2025Updated last year
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Aug 6, 2018Updated 7 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆88Jul 19, 2020Updated 5 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 3 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Jun 15, 2021Updated 5 years ago
- Code for replication of working paper version of The Art of Temporal Approximation☆13May 8, 2024Updated 2 years ago
- ☆13Sep 13, 2023Updated 2 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.
- Functional Regularisation for Continual Learning with Gaussian Processes☆15Oct 24, 2020Updated 5 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆30Nov 5, 2023Updated 2 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
- ☆21Nov 29, 2022Updated 3 years ago
- Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)☆12Aug 16, 2023Updated 2 years ago
- Napari training material for a workshop by the CZI funded initiatives LIBRE hub, Napari, and several amazing volunteers☆10Sep 28, 2023Updated 2 years ago
- Implementation of 2-simplicial attention proposed by Clift et al. (2019) and the recent attempt to make practical in Fast and Simplex, Ro…☆49Sep 2, 2025Updated 10 months ago
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)☆19Jan 27, 2026Updated 5 months ago
- SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.☆25Mar 22, 2024Updated 2 years 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.
- Einsum-like high-level array sharding API for JAX☆35Jul 16, 2024Updated last year
- Mutual information estimators and benchmark☆63Sep 16, 2025Updated 9 months ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Apr 23, 2025Updated last year
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆29Sep 22, 2023Updated 2 years ago
- Voice Conversion Experiments for THUHCSI Course : <Digital Processing of Speech Signals>☆18Nov 27, 2024Updated last year
- ☆34Jan 25, 2024Updated 2 years ago
- Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.☆27Aug 9, 2024Updated last year