PGM-Lab / 2022-ProbAI
☆20Updated 2 years ago
Alternatives and similar repositories for 2022-ProbAI:
Users that are interested in 2022-ProbAI are comparing it to the libraries listed below
- Tutorials and sampling algorithm comparisons☆70Updated this week
- Bayesian Bandits☆68Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆172Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆85Updated last year
- An introduction to functional programming for scalable statistical computing☆71Updated 6 months ago
- Neat Bayesian machine learning examples☆54Updated last week
- probabilistic programming focused on fun☆38Updated 2 months ago
- ☆18Updated last year
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆47Updated 3 years ago
- Normalizing Flows using JAX☆82Updated last year
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆99Updated last year
- Efficient, lightweight variational inference and approximation bounds☆42Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆79Updated 3 weeks ago
- Code source of Learning Binary Trees by Argmin Differentiation.☆12Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆128Updated 2 years ago
- Structural Time Series in JAX☆187Updated 8 months ago
- An experimental language for causal reasoning☆180Updated 2 weeks ago
- Composable kernels for scikit-learn implemented in JAX.☆42Updated 4 years ago
- Inference Combinators in JAX☆45Updated 2 months ago
- A simple library to run variational inference on Stan models.☆30Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆193Updated 9 months ago
- A framework for composing Neural Processes in Julia☆76Updated 3 years ago
- State of the art inference for your bayesian models.☆194Updated last month
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated last year
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated last year
- Bayesian Regression Models in Pyro☆70Updated 5 months ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 2 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated last year