BasisResearch / chirhoLinks
An experimental language for causal reasoning
☆221Updated this week
Alternatives and similar repositories for chirho
Users that are interested in chirho are comparing it to the libraries listed below
Sorting:
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆260Updated last week
- Tools for an Aesara-based PPL.☆66Updated 10 months ago
- State of the art inference for your bayesian models.☆222Updated 4 months ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Uncertainty quantification with PyTorch☆372Updated 5 months ago
- [Experimental] Global causal discovery algorithms☆106Updated this week
- Structural Time Series in JAX☆199Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 8 months ago
- Public dataset repository for the Causal Chamber Project☆44Updated 2 months ago
- Library for graphical models of decision making, based on pgmpy and networkx☆110Updated 2 years ago
- Exploring and eliciting probability distributions☆150Updated last week
- probabilistic programming focused on fun☆42Updated last month
- Python package to compute conditional and non-conditional causal effects.☆35Updated 3 years ago
- A library for bayesian variable selection☆30Updated 7 months ago
- Database with posteriors of interest for Bayesian inference☆207Updated 3 weeks ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆52Updated last year
- Active Bayesian Causal Inference (Neurips'22)☆58Updated last year
- Loopy belief propagation for factor graphs on discrete variables in JAX☆156Updated 11 months ago
- Automated Bayesian model discovery for time series data☆80Updated 2 weeks ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- Efficient, lightweight variational inference and approximation bounds☆45Updated last year
- Code source of Learning Binary Trees by Argmin Differentiation.☆12Updated 2 years ago
- ☆122Updated this week
- Python package for (conditional) independence testing and statistical functions related to causality.☆28Updated 3 months ago
- A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…☆125Updated last year
- Bayesian Regression Models in Pyro☆72Updated last year
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆72Updated last week
- ☆21Updated 3 years ago
- Powerful add-ons for PyMC☆115Updated last week
- ❓y0 (pronounced "why not?") is for causal inference in Python☆60Updated this week