CausalLift: Python package for causality-based Uplift Modeling in real-world business
☆360Apr 15, 2026Updated 6 months ago
Alternatives and similar repositories for causallift
Users that are interested in causallift are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Uplift modeling package.☆376Oct 28, 2022Updated 4 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆71Apr 26, 2025Updated last year
- uplift modeling in scikit-learn style in python☆818Oct 21, 2023Updated 3 years ago
- Uplift modeling and evaluation library. Actively maintained pypi version.☆79Dec 28, 2023Updated 2 years ago
- Lightweight uplift modeling framework for Python☆30Dec 2, 2019Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Uplift modeling and causal inference with machine learning algorithms☆6,035Oct 12, 2026Updated 2 weeks ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆337Mar 23, 2023Updated 3 years ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,833Updated this week
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,492Aug 31, 2026Updated last month
- Causal Inference in Python☆579Sep 26, 2026Updated last month
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 3 years ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,381Updated this week
- ☆35Sep 29, 2018Updated 8 years ago
- An index of algorithms for learning causality with data☆3,298Oct 7, 2026Updated 3 weeks ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Machine learning based causal inference/uplift in Python☆64Oct 23, 2026Updated last week
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,363Jan 8, 2022Updated 4 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆816Dec 1, 2025Updated 10 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆679Sep 20, 2026Updated last month
- A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects☆24Aug 14, 2023Updated 3 years ago
- ☆17Sep 17, 2019Updated 7 years ago
- EconML/CausalML KDD 2021 Tutorial☆171Aug 23, 2023Updated 3 years ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,505Oct 6, 2026Updated 3 weeks ago
- An R package for causal inference in time series☆1,865Mar 31, 2026Updated 6 months ago
- 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.
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆133Mar 24, 2023Updated 3 years ago
- ☆292Jun 20, 2023Updated 3 years ago
- A Python package for modular causal inference analysis and model evaluations☆834May 26, 2026Updated 5 months ago
- Tools for causal analysis☆1,082Mar 11, 2025Updated last year
- Must-read papers and resources related to causal inference and machine (deep) learning☆752Nov 23, 2022Updated 3 years ago
- A data index for learning causality.☆494Oct 25, 2023Updated 3 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆160Jun 17, 2021Updated 5 years ago
- Python implementations of contextual bandits algorithms☆841Updated this week
- Lifetime value in Python☆1,476Jun 28, 2024Updated 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.
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,531Jul 13, 2025Updated last year
- AutoML for causal inference.☆242Jul 19, 2026Updated 3 months ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,243Oct 13, 2025Updated last year
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆118May 14, 2024Updated 2 years ago
- Repository with code and slides for a tutorial on causal inference.☆592Sep 23, 2019Updated 7 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆13Oct 20, 2020Updated 6 years ago
- Counterfactual Regression☆319Dec 7, 2022Updated 3 years ago