jvpoulos / causal-mlLinks
Must-read papers and resources related to causal inference and machine (deep) learning
☆739Updated 2 years ago
Alternatives and similar repositories for causal-ml
Users that are interested in causal-ml are comparing it to the libraries listed below
Sorting:
- A data index for learning causality.☆478Updated 2 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆341Updated last year
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,484Updated 2 weeks ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆785Updated 4 months ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,199Updated 2 weeks ago
- ☆504Updated 10 months ago
- Trustworthy AI related projects☆1,077Updated 2 months ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆650Updated last year
- A Python package for modular causal inference analysis and model evaluations☆797Updated 6 months ago
- ☆285Updated 3 years ago
- A curated list of causal inference libraries, resources, and applications.☆1,065Updated 6 months ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆150Updated last year
- Resources related to causality☆266Updated last year
- Example causal datasets with consistent formatting and ground truth☆94Updated 6 months ago
- Causal discovery algorithms and tools for implementing new ones☆231Updated 3 months ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆108Updated 4 years ago
- DoubleML - Double Machine Learning in Python☆669Updated this week
- Repository with code and slides for a tutorial on causal inference.☆583Updated 6 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆517Updated 2 years ago
- Python package for causal discovery based on LiNGAM.☆451Updated this week
- Makes algorithms/code in Tetrad available in Python via JPype☆88Updated this week
- Counterfactual Regression☆314Updated 2 years ago
- A (concise) curated list of awesome Causal Inference resources.☆243Updated 3 years ago
- Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"☆13Updated 9 months ago
- An index of algorithms for learning causality with data☆3,214Updated 9 months ago
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- EconML/CausalML KDD 2021 Tutorial☆163Updated 2 years ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,330Updated 3 years ago
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆24Updated 2 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆354Updated 5 years ago