agrumery / aGrUM
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
☆32Updated 3 weeks ago
Alternatives and similar repositories for aGrUM:
Users that are interested in aGrUM are comparing it to the libraries listed below
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆80Updated 2 months ago
- An experimental language for causal reasoning☆194Updated this week
- ☆104Updated this week
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆52Updated this week
- [Experimental] Global causal discovery algorithms☆98Updated last week
- Tutorials and sampling algorithm comparisons☆70Updated this week
- Library for graphical models of decision making, based on pgmpy and networkx☆103Updated last year
- Competing Risks and Survival Analysis☆81Updated this week
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆24Updated 2 years ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆27Updated 2 months ago
- Bayesian Regression Models in Pyro☆71Updated 7 months ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆58Updated last year
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated 10 months ago
- Powerful add-ons for PyMC☆97Updated this week
- Active Bayesian Causal Inference (Neurips'22)☆54Updated 7 months ago
- ❓y0 (pronounced "why not?") is for causal inference in Python☆50Updated this week
- Bayesian inference for a logistic regression model in various languages☆43Updated last year
- probabilistic programming focused on fun☆40Updated 4 months ago
- Experimental library integrating LLM capabilities to support causal analyses☆113Updated this week
- A resource list for causality in statistics, data science and physics☆264Updated 3 weeks ago
- ☆25Updated 9 months ago
- Exploring and eliciting probability distributions☆126Updated this week
- Bayesian optimization of discrete sequences☆20Updated 2 years ago
- Tools for an Aesara-based PPL.☆64Updated 4 months ago
- Bayesian Bandits☆67Updated last year
- Causal Inference in Python☆41Updated last month
- Jax SSM Library☆49Updated 2 years ago
- Utilities for probabilistic ML☆33Updated last year
- Fast and modular sklearn replacement for generalized linear models☆167Updated 4 months ago
- PGM_PyLib: A Python Library for Inference and Learning of Probabilistic Graphical Models☆32Updated 3 years ago