napsternxg / awesome-causalityLinks
Resources related to causality
☆265Updated last year
Alternatives and similar repositories for awesome-causality
Users that are interested in awesome-causality are comparing it to the libraries listed below
Sorting:
- A (concise) curated list of awesome Causal Inference resources.☆241Updated 2 years ago
- A data index for learning causality.☆474Updated last year
- A curated list of awesome work on causal inference, particularly in machine learning.☆107Updated 4 years ago
- Repository with code and slides for a tutorial on causal inference.☆577Updated 5 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆335Updated 10 months ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆157Updated 4 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
- 💊 Comparing causality methods in a fair and just way.☆140Updated 5 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆734Updated 2 years ago
- ☆468Updated last year
- Causal Graphical Models in Python☆246Updated 2 years ago
- Causal Inference in Python☆572Updated 2 months ago
- ☆78Updated 5 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆60Updated 4 months 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
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- ☆189Updated 2 years ago
- EconML/CausalML KDD 2021 Tutorial☆162Updated 2 years ago
- List of python packages for causal inference☆17Updated 3 years ago
- AutoML for causal inference.☆228Updated 8 months ago
- Example causal datasets with consistent formatting and ground truth☆87Updated 4 months ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- A collection of visual guides to help applied scientists learn causal inference.☆280Updated 2 years ago
- Non-parametrics for Causal Inference☆49Updated 3 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 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
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆114Updated 4 years ago