amit-sharma / causal-inference-tutorialLinks
Repository with code and slides for a tutorial on causal inference.
☆583Updated 6 years ago
Alternatives and similar repositories for causal-inference-tutorial
Users that are interested in causal-inference-tutorial are comparing it to the libraries listed below
Sorting:
- Causal Inference in Python☆573Updated 5 months ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆785Updated this week
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,331Updated 3 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- A Python package for modular causal inference analysis and model evaluations☆799Updated 8 months ago
- Resources related to causality☆266Updated last year
- Causal Graphical Models in Python☆250Updated 2 years ago
- ☆470Updated last year
- A data index for learning causality.☆480Updated 2 years ago
- ☆205Updated 2 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,208Updated last month
- Tools for causal analysis☆1,077Updated 8 months ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆742Updated 3 years ago
- ☆289Updated 2 years ago
- 💊 Comparing causality methods in a fair and just way.☆141Updated 5 years ago
- AutoML for causal inference.☆231Updated 11 months ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆160Updated 4 years ago
- DoubleML - Double Machine Learning in Python☆682Updated this week
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.☆415Updated 5 years ago
- Working repository for Causal Tree and extensions☆447Updated 7 months ago
- Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.☆431Updated last week
- ☆517Updated 11 months ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆340Updated last year
- Tutorials on Causal Inference and pgmpy☆387Updated 3 months ago
- Data Efficient Decision Making☆249Updated 3 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Updated last year
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆151Updated last year
- EconML/CausalML KDD 2021 Tutorial☆165Updated 2 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆354Updated 5 years ago