Uplift modeling and causal inference with machine learning algorithms
☆5,824Apr 25, 2026Updated this week
Alternatives and similar repositories for causalml
Users that are interested in causalml are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,611Apr 20, 2026Updated last week
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,086Updated this week
- An index of algorithms for learning causality with data☆3,261Jan 22, 2025Updated last year
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,462Jun 26, 2024Updated last year
- uplift modeling in scikit-learn style in python☆804Oct 21, 2023Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,228Oct 13, 2025Updated 6 months ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,329Apr 8, 2026Updated 3 weeks ago
- Uplift modeling package.☆377Oct 28, 2022Updated 3 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆355Apr 15, 2026Updated 2 weeks ago
- Causal Discovery in Python. Learning causality from data.☆1,581Apr 20, 2026Updated last week
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆798Dec 1, 2025Updated 4 months ago
- A Python package for modular causal inference analysis and model evaluations☆812Apr 6, 2025Updated last year
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,048Mar 3, 2026Updated last month
- A game theoretic approach to explain the output of any machine learning model.☆25,355Updated this week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Must-read papers and resources related to causal inference and machine (deep) learning☆751Nov 23, 2022Updated 3 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,840Updated this week
- A Python package for causal inference in quasi-experimental settings☆1,137Updated this week
- Causal Inference in Python☆577Jun 21, 2025Updated 10 months ago
- An R package for causal inference in time series☆1,822Mar 31, 2026Updated last month
- UpliftML: A Python Package for Scalable Uplift Modeling☆331Mar 23, 2023Updated 3 years ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,346Jan 8, 2022Updated 4 years ago
- ☆296Apr 3, 2022Updated 4 years ago
- Repository with code and slides for a tutorial on causal inference.☆586Sep 23, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- DoubleML - Double Machine Learning in Python☆728Apr 20, 2026Updated last week
- Generalized Random Forests☆1,085Apr 21, 2026Updated last week
- Trustworthy AI related projects☆1,116Nov 13, 2025Updated 5 months ago
- ☆529Dec 16, 2024Updated last year
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,508Jul 13, 2025Updated 9 months ago
- An open source python library for automated feature engineering☆7,630Feb 3, 2026Updated 2 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆670Jan 13, 2025Updated last year
- A unified framework for machine learning with time series☆9,745Updated this week
- A data index for learning causality.☆488Oct 25, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Python Toolkit for Causal and Probabilistic Reasoning☆3,263Updated this week
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,649Jan 14, 2026Updated 3 months ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,871Mar 24, 2026Updated last month
- Deep universal probabilistic programming with Python and PyTorch☆8,993Jul 9, 2025Updated 9 months ago
- Algorithms for explaining machine learning models☆2,626Oct 17, 2025Updated 6 months ago
- Tools for causal analysis☆1,079Mar 11, 2025Updated last year
- Automatic extraction of relevant features from time series:☆9,176Nov 15, 2025Updated 5 months ago