Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
☆216Sep 18, 2023Updated 3 years ago
Alternatives and similar repositories for Probabilistic_ML
Users that are interested in Probabilistic_ML are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Apps (mostly streamlit) for the "Probabilistic Machine Learning" Lecture course at the University of Tübingen☆31Apr 19, 2024Updated 2 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆234Mar 29, 2024Updated 2 years ago
- Repository for the course Probabilistic Machine Learning at Tübingen University☆27May 17, 2020Updated 6 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆44Apr 12, 2023Updated 3 years ago
- This is a repository of scripts developed as part of the 2020 ENCMP100 Section B3 lecture taught at University of Alberta.☆10Apr 2, 2020Updated 6 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Mar 31, 2021Updated 5 years ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Jul 19, 2023Updated 3 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
- Courses, assignments & solutions for Stanford CS109☆15Feb 20, 2019Updated 7 years ago
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Jun 13, 2023Updated 3 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆23Sep 26, 2023Updated 3 years ago
- ☆20Oct 3, 2024Updated 2 years ago
- NeurIPS 2019 Paper☆12Dec 9, 2019Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A software package for flexible HPC GPs☆16Updated this week
- ☆228Jul 27, 2024Updated 2 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆22Jul 20, 2024Updated 2 years ago
- Short Term Load Forecasting with ES-dRNN☆14Dec 8, 2022Updated 3 years ago
- Dynamic Causal Modelling (DCM) of fMRI and M/EEG face-processing data☆10Jan 26, 2024Updated 2 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- Modern Gaussian Processes: Scalable Inference and Novel Applications☆20Jul 13, 2019Updated 7 years ago
- Probabilistic Numerics in Python.☆462Jul 3, 2025Updated last year
- Talk to honours students on developing good research habits☆18Mar 27, 2026Updated 6 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.
- Individual Claims Forecasting with Bayesian Mixture Density Networks☆17Feb 15, 2023Updated 3 years ago
- General guidelines for financial planning☆13Mar 23, 2025Updated last year
- An easy to use Monte Carlo savings and retirement planner.☆11May 13, 2019Updated 7 years ago
- Materials related to the 2024-2025 mini course on Probabilistic Models and Bayesian Methods at the Faculty of Finance at Kharazmi Univers…☆27Jun 12, 2025Updated last year
- Process Control Laboratory☆14Dec 7, 2020Updated 5 years ago
- Gaussian processes in JAX and Equinox.☆669Oct 5, 2026Updated last week
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 3 years ago
- Laplace approximations in JAX.☆52Jun 16, 2026Updated 3 months ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Dec 20, 2023Updated 2 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.
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆103Aug 12, 2026Updated 2 months ago
- Code for my JavaScript browser-based retirement calculator http://www.abrandao.com/retire/☆11Dec 13, 2019Updated 6 years ago
- Data Science for Dynamical System Course☆153Nov 26, 2025Updated 10 months ago
- ☆14Nov 30, 2023Updated 2 years ago
- ☆16Apr 26, 2023Updated 3 years ago
- Uncertainty Quantification for Materials Property Prediction: a Benchmark Study☆17Aug 19, 2024Updated 2 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆243Dec 22, 2023Updated 2 years ago