altdeep / causalML
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
☆759Updated 8 months ago
Alternatives and similar repositories for causalML:
Users that are interested in causalML are comparing it to the libraries listed below
- A Python package for modular causal inference analysis and model evaluations☆768Updated last week
- Must-read papers and resources related to causal inference and machine (deep) learning☆700Updated 2 years ago
- Repository with code and slides for a tutorial on causal inference.☆575Updated 5 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,167Updated last year
- A data index for learning causality.☆463Updated last year
- Resources related to causality☆261Updated last year
- ☆466Updated 10 months ago
- DoubleML - Double Machine Learning in Python☆569Updated this week
- Causal Inference in Python☆566Updated 4 years ago
- ☆476Updated 3 months ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,301Updated 3 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆316Updated 5 months ago
- A Python package for causal inference in quasi-experimental settings☆971Updated last week
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆620Updated 10 months ago
- Causal Graphical Models in Python☆246Updated 2 years ago
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,322Updated this week
- Data Efficient Decision Making☆246Updated 2 years ago
- A resource list for causality in statistics, data science and physics☆264Updated this week
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,299Updated 9 months ago
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆508Updated last month
- A (concise) curated list of awesome Causal Inference resources.☆229Updated 2 years ago
- AutoML for causal inference.☆220Updated 3 months ago
- Python package for causal discovery based on LiNGAM.☆409Updated last month
- A Python sandbox for decision making in dynamics☆422Updated last year
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆635Updated 3 months ago
- ☆204Updated 2 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆347Updated last year
- Some notes on Causal Inference, with examples in python☆153Updated 5 years ago
- Generalized Random Forests☆1,006Updated last week
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.☆416Updated 4 years ago