HeberTU / curso-python-cacLinks
Material del curso de programación en Python del Colegio de Actuarios de Cataluña
☆54Updated 2 months ago
Alternatives and similar repositories for curso-python-cac
Users that are interested in curso-python-cac are comparing it to the libraries listed below
Sorting:
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,152Updated 2 months ago
- Code for the Book Causal Inference in Python☆355Updated last year
- Causal Inference and Discovery in Python by Packt Publishing☆961Updated last month
- A curated list of causal inference libraries, resources, and applications.☆1,070Updated 8 months ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆785Updated last week
- A Python package for modular causal inference analysis and model evaluations☆799Updated 8 months ago
- DoubleML - Double Machine Learning in Python☆681Updated 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
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,402Updated last year
- A Python package for causal inference in quasi-experimental settings☆1,072Updated this week
- A Python package for causal inference using Synthetic Controls☆193Updated last year
- Must-read papers and resources related to causal inference and machine (deep) learning☆743Updated 3 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆659Updated 10 months ago
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆578Updated this week
- Lecture notes for the Causality in Machine Learning course☆15Updated 6 years ago
- Interpretable Machine Learning with Python, published by Packt☆475Updated last month
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆108Updated last week
- Causal Inference in Python☆573Updated 5 months ago
- A data index for learning causality.☆480Updated 2 years ago
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,507Updated last month
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,409Updated this week
- ☆470Updated last year
- Introduction to Social Data Science 2022 - a summer school course https://isdsucph.github.io/isds2022/☆22Updated 3 years ago
- Power analysis and AB test analysis library☆47Updated this week
- Repository with code and slides for a tutorial on causal inference.☆583Updated 6 years ago
- Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"☆14Updated 10 months ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆158Updated last month
- Python package for causal discovery based on LiNGAM.☆457Updated this week
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,209Updated last month
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,474Updated 4 months ago