amazon-science / azcausalLinks
Causal Inference in Python
☆43Updated 5 months ago
Alternatives and similar repositories for azcausal
Users that are interested in azcausal are comparing it to the libraries listed below
Sorting:
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆56Updated 3 weeks ago
- Active Bayesian Causal Inference (Neurips'22)☆58Updated 11 months ago
- ☆12Updated 2 years ago
- A Causal AI package for causal graphs.☆60Updated 3 months ago
- Code for blog posts.☆19Updated last year
- Notebooks for Applied Causal Inference Powered by ML and AI☆127Updated 3 months ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆81Updated 6 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆60Updated 2 months ago
- Causal Inference Using Quasi-Experimental Methods☆20Updated 4 years ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆140Updated 11 months ago
- ☆45Updated 10 months ago
- Causal Inference for Time Series Data (with CausalML Demo)☆14Updated 2 years ago
- ☆30Updated last year
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆51Updated last month
- Causing: CAUsal INterpretation using Graphs☆58Updated last month
- Experimental library integrating LLM capabilities to support causal analyses☆224Updated last week
- Python package for (conditional) independence testing and statistical functions related to causality.☆28Updated last month
- Lecture Notes on Statistical Inference☆76Updated 8 months ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- Code for the paper "CAREER: Transfer Learning for Economic Prediction of Labor Sequence Data"☆43Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆59Updated last year
- ☆9Updated 3 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- Bayesian time series forecasting and decision analysis☆116Updated 2 years ago
- Example causal datasets with consistent formatting and ground truth☆87Updated 3 months ago
- Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*☆67Updated 6 years ago
- Ananke named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language o…☆14Updated 5 years ago
- ☆14Updated last year
- This project introduces Causal AI and how it can drive business value.☆48Updated 10 months ago