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☆219Updated last year
- An experimental language for causal reasoning☆227Updated last week
- Tutorials and sampling algorithm comparisons☆77Updated this week
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆179Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated 2 years ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆70Updated 7 months ago
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- An introduction to functional programming for scalable statistical computing☆76Updated last year
- probabilistic programming focused on fun☆43Updated 2 months ago
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆51Updated 5 years ago
- Bayesian Bandits☆68Updated 2 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 10 months ago
- Python package to compute conditional and non-conditional causal effects.☆36Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 4 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆239Updated last year
- Efficient, lightweight variational inference and approximation bounds☆45Updated last year
- ❓y0 (pronounced "why not?") is for causal inference in Python☆63Updated last week
- A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.☆116Updated 3 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 2 years ago
- Structural Time Series in JAX☆200Updated last year
- A resource list for causality in statistics, data science and physics☆266Updated 2 weeks ago
- Database with posteriors of interest for Bayesian inference☆210Updated last month
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- Materials of the Nordic Probabilistic AI School 2019.☆129Updated 5 years ago
- Verty short course on evolutionary game theory☆178Updated last year
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Course 5SSD0 - Bayesian Machine Learning and Information Processing☆50Updated last month
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year