imirzadeh / awesome-causal-inferenceLinks
A (concise) curated list of awesome Causal Inference resources.
☆241Updated 2 years ago
Alternatives and similar repositories for awesome-causal-inference
Users that are interested in awesome-causal-inference are comparing it to the libraries listed below
Sorting:
- Resources related to causality☆267Updated last year
- A curated list of awesome work on causal inference, particularly in machine learning.☆107Updated 4 years ago
- A data index for learning causality.☆474Updated last year
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆334Updated 10 months ago
- EconML/CausalML KDD 2021 Tutorial☆162Updated 2 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆733Updated 2 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆157Updated 4 years ago
- Repository with code and slides for a tutorial on causal inference.☆577Updated 5 years ago
- ☆189Updated 2 years ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- Some notes on Causal Inference, with examples in python☆153Updated 5 years ago
- ☆78Updated 5 years ago
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.☆416Updated 4 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆143Updated last year
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆518Updated 2 years ago
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆59Updated 5 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆90Updated 2 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆776Updated 2 months ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*☆67Updated 6 years ago
- ☆468Updated last year
- 把因果思维融入机器学习中☆81Updated 5 years ago
- Example causal datasets with consistent formatting and ground truth☆87Updated 4 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- ☆276Updated 3 years ago
- ☆27Updated 3 years ago
- ☆22Updated 2 years ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆171Updated last year
- ☆35Updated 2 months ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆69Updated 5 years ago