EconML/CausalML KDD 2021 Tutorial
☆168Aug 23, 2023Updated 2 years ago
Alternatives and similar repositories for kdd2021-tutorial
Users that are interested in kdd2021-tutorial 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…☆4,654Jun 3, 2026Updated last week
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆11Dec 15, 2022Updated 3 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆34May 18, 2020Updated 6 years ago
- resources for career development in data science☆16Jun 24, 2020Updated 5 years ago
- Uplift modeling and causal inference with machine learning algorithms☆5,858May 16, 2026Updated 3 weeks 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.
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Jul 16, 2023Updated 2 years ago
- ☆11Jun 5, 2021Updated 5 years ago
- An index of algorithms for learning causality with data☆3,269Jan 22, 2025Updated last year
- Must-read papers and resources related to causal inference and machine (deep) learning☆751Nov 23, 2022Updated 3 years ago
- DoWhy 스터디 Gitbook☆10Feb 12, 2023Updated 3 years ago
- ☆47Apr 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☆800Dec 1, 2025Updated 6 months ago
- Causal Inference for Time Series Data (with CausalML Demo)☆14Jun 11, 2023Updated 2 years ago
- Source code for our paper "Top-K Contextual Bandits with Equity of Exposure" published at RecSys 2021.☆15Aug 2, 2021Updated 4 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.
- Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure☆937Mar 16, 2026Updated 2 months ago
- ☆38Sep 13, 2025Updated 8 months ago
- 因果推理&AB实验相关论文小书库☆250Mar 12, 2023Updated 3 years ago
- A collection of different PyTorch wrappers for training neural networks and reinforcement algorithms☆13Dec 15, 2022Updated 3 years ago
- 캐글 컴피티션 코드 정리 팁☆10Oct 10, 2019Updated 6 years ago
- ☆221Dec 17, 2025Updated 5 months ago
- YLearn, a pun of "learn why", is a python package for causal inference☆430Jun 28, 2025Updated 11 months ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆160Jun 17, 2021Updated 4 years ago
- ☆15Dec 14, 2020Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Synthetic difference in differences for Python☆88Apr 4, 2024Updated 2 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 3 years ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,372Apr 8, 2026Updated 2 months ago
- ☆10Oct 31, 2022Updated 3 years ago
- AutoML for causal inference.☆241Dec 18, 2024Updated last year
- (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"☆19Nov 21, 2022Updated 3 years ago
- [ICLR 2025] On Evluating the Durability of Safegurads for Open-Weight LLMs☆13Jun 20, 2025Updated 11 months ago
- A Python package for modular causal inference analysis and model evaluations☆818May 26, 2026Updated 2 weeks ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,141Updated this week
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,466Jun 26, 2024Updated last year
- Code for RecSys'19 paper: Leveraging Post-click Feedback for Content Recommendations☆15Jul 28, 2021Updated 4 years ago
- This repository contains the sample code to benchmark popular time series forecast algorithms using Gluonts in AWS Sagemaker Notebook Ins…☆13Jul 26, 2021Updated 4 years ago
- Material for the Berlin Bayesian reading group covering Statistical Rethinking by Richard McElreath☆10May 7, 2020Updated 6 years ago
- A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.☆283Jan 5, 2026Updated 5 months ago
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆13Apr 4, 2021Updated 5 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Nov 21, 2022Updated 3 years ago