probabilisticai / tropai-2024Links
Materials of the Tropical Probabilistic AI School 2024.
☆23Updated last year
Alternatives and similar repositories for tropai-2024
Users that are interested in tropai-2024 are comparing it to the libraries listed below
Sorting:
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆222Updated last year
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆70Updated 9 months ago
- A course on imprecise probabilistic machine learning☆108Updated last week
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 3 years ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- Tutorials and sampling algorithm comparisons☆79Updated last week
- Efficient, lightweight variational inference and approximation bounds☆45Updated last month
- Course 5SSD0 - Bayesian Machine Learning and Information Processing☆50Updated 2 months ago
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- probabilistic programming focused on fun☆46Updated last month
- Bayesian Bandits☆68Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 4 years ago
- An experimental language for causal reasoning☆238Updated last month
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 2 years ago
- Course materials for Computational Statistics, PhD course at EMAp.☆37Updated 5 months ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Bayesian inference and posterior analysis for Python☆46Updated last year
- Materials of the Nordic Probabilistic AI School 2024.☆66Updated last year
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆58Updated 2 years ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆121Updated 3 weeks ago
- An introduction to functional programming for scalable statistical computing☆77Updated last year
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 8 months ago
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆52Updated 6 years ago
- some scripts for the couplings enthusiasts!☆32Updated 5 years ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- Geometric kernels on manifolds, meshes and graphs☆279Updated last week
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆240Updated last year
- Following along with Statistical Rethinking text on Bayesian modeling by McElreath☆67Updated 5 years ago
- Bayesian optimization of discrete sequences☆21Updated 3 years ago
- Utilities for probabilistic ML☆36Updated 2 years ago