An experimental language for causal reasoning
☆257Dec 3, 2025Updated 3 months ago
Alternatives and similar repositories for chirho
Users that are interested in chirho are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Analyzing animal collaboration with Bayesian and causal inference.☆13Jul 18, 2025Updated 8 months ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆31Jan 1, 2026Updated 2 months ago
- Causal and probabilistic reasoning with continuous time dynamical systems☆20Aug 29, 2025Updated 6 months ago
- A Python package for causal inference in quasi-experimental settings☆1,126Mar 16, 2026Updated last week
- Particle Gibbs sampler for Bayesian additive regression trees (BART) in Rust.☆14Feb 6, 2026Updated last month
- State of the art inference for your bayesian models.☆235Jan 14, 2026Updated 2 months ago
- A library for bayesian variable selection☆31Jan 24, 2025Updated last year
- A domain-specific probabilistic programming language for modeling and inference with language models☆143Apr 29, 2025Updated 10 months ago
- ArviZ modular plotting☆18Updated this week
- Decorators for logging purposes for all your dataframes☆14Jan 31, 2025Updated last year
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,033Feb 3, 2026Updated last month
- Scrap Your Boilerplate for MetaOCaml with modular implicits☆18Dec 21, 2015Updated 10 years ago
- A Simple Statistical Distribution Library in JAX☆16Mar 30, 2024Updated last year
- An experimental library for metaprogramming with algebraic effects and handlers☆28Updated this week
- Inference Combinators in JAX☆52May 17, 2025Updated 10 months ago
- The PERPL Compiler☆14Oct 17, 2025Updated 5 months ago
- Tools for an Aesara-based PPL.☆67Oct 28, 2024Updated last year
- Automated Bayesian model discovery for time series data☆86Mar 3, 2026Updated 2 weeks ago
- Tutorials and sampling algorithm comparisons☆80Updated this week
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆15Feb 28, 2025Updated last year
- Mechanized baselines for various type system features☆18Updated this week
- A Beginner's Guide to Variational Inference☆18Apr 19, 2025Updated 11 months ago
- Simulation based calibration and generation of synthetic data.☆56Nov 12, 2025Updated 4 months ago
- miniKanren with a first-order representation of the search space☆17Mar 11, 2026Updated last week
- Public dataset repository for the Causal Chamber Project☆61Mar 16, 2026Updated last week
- Building blocks for simple and advanced particle filtering in Gen.☆27Mar 19, 2024Updated 2 years ago
- Probabilistic programming with programmable variational inference.☆22Jun 22, 2024Updated last year
- Models and infrastructure for forecasting respiratory disease hospitalizations using wastewater data with PyRenew.☆16Updated this week
- A Bayesian latent tree model of high-dimensional heterogeneous data☆23Sep 14, 2017Updated 8 years ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,623Updated this week
- ☆139Mar 16, 2026Updated last week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆304Updated this week
- Agent models implemented with Pyro☆11Jul 11, 2023Updated 2 years ago
- ☆527Dec 16, 2024Updated last year
- Julia package for automated Bayesian inference on a factor graph with reactive message passing☆390Updated this week
- Causal Graphical Models in Python☆251Feb 13, 2023Updated 3 years ago
- Probabilistic programming with large language models☆164Nov 18, 2025Updated 4 months ago
- A Python package for probabilistic state space modeling with JAX☆941Jan 6, 2026Updated 2 months ago
- A toolbox for simulating and estimating long-term causal effects in the presence of unobserved confounding.☆14Feb 20, 2023Updated 3 years ago