UpliftML: A Python Package for Scalable Uplift Modeling
☆335Mar 23, 2023Updated 3 years ago
Alternatives and similar repositories for upliftml
Users that are interested in upliftml are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆356Apr 15, 2026Updated 3 months ago
- uplift modeling in scikit-learn style in python☆807Oct 21, 2023Updated 2 years ago
- Uplift modeling and causal inference with machine learning algorithms☆5,931Updated this week
- Uplift modeling package.☆377Oct 28, 2022Updated 3 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
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,720Updated this week
- Reinforcement Learning for Uplift Modeling☆13Mar 13, 2021Updated 5 years ago
- DoubleML - Double Machine Learning in Python☆759Updated this week
- PySpark-based causal inference package.☆13Aug 20, 2021Updated 4 years ago
- A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects☆23Aug 14, 2023Updated 2 years ago
- ☆26Aug 30, 2021Updated 4 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆674Jan 13, 2025Updated last year
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,063May 22, 2026Updated last month
- A Python package for modular causal inference analysis and model evaluations☆831May 26, 2026Updated last month
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A Python package for causal inference in quasi-experimental settings☆1,162Updated this week
- Data for and description of the ACIC 2023 data competition☆33Jun 9, 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…☆8,226Updated this week
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆451Apr 23, 2024Updated 2 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,475Jun 29, 2026Updated 3 weeks ago
- ☆378Aug 8, 2024Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,573Updated this week
- Supporting material for the book club☆15Jul 24, 2022Updated 3 years ago
- Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees☆16Apr 21, 2023Updated 3 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.
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆752Updated this week
- Unstructured Code with interesting analysis☆36Oct 17, 2024Updated last year
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 3 years ago
- Uplift Modeling for Multiple Treatments☆16Sep 3, 2021Updated 4 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆52Sep 3, 2021Updated 4 years ago
- A flexible python package for cost-aware uplift modelling.☆41Jan 12, 2026Updated 6 months ago
- Time should be taken seer-iously☆318Mar 17, 2023Updated 3 years ago
- Python implementations of contextual bandits algorithms☆838Jun 28, 2026Updated 3 weeks ago
- 🛠 How to Apply Causal ML to Real Scene Modeling?How to learn Causal ML?【✔从Causal ML到实际场景的Uplift建模】☆156Mar 25, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code and notebooks for my Medium blog posts☆132Mar 17, 2024Updated 2 years ago
- MLflow logging for PyMC☆14Aug 31, 2025Updated 10 months ago
- Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation☆705Jun 3, 2024Updated 2 years ago
- ☆533Dec 16, 2024Updated last year
- Causal Inference Using Quasi-Experimental Methods☆21Jan 15, 2021Updated 5 years ago
- ☆51Jan 3, 2021Updated 5 years ago
- ☆43Aug 11, 2022Updated 3 years ago