Alternatives and similar repositories for curso-python-cac

Users that are interested in curso-python-cac are comparing it to the libraries listed below

• matheusfacure / python-causality-handbook
  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
  ☆3,058Updated last month
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆335Updated last year
• matteocourthoud / awesome-causal-inference
  A curated list of causal inference libraries, resources, and applications.
  ☆1,052Updated 5 months ago
• PacktPublishing / Causal-Inference-and-Discovery-in-Python
  Causal Inference and Discovery in Python by Packt Publishing
  ☆914Updated last week
• jrfiedler / causal_inference_python_code
  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆1,319Updated 3 years ago
• isdsucph / isds2022
  Introduction to Social Data Science 2022 - a summer school course https://isdsucph.github.io/isds2022/
  ☆22Updated 3 years ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆646Updated last week
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆190Updated last year
• py-why / EconML
  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…
  ☆4,283Updated this week
• DeekshaD / causalML-lecturenotes
  Lecture notes for the Causality in Machine Learning course
  ☆15Updated 6 years ago
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆777Updated 2 months ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,035Updated last week
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆789Updated 5 months ago
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆738Updated 2 years ago
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,368Updated last year
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆471Updated last week
• divyat09 / cate-estimator-selection
  Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"
  ☆13Updated 7 months ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆104Updated 5 months ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆644Updated 8 months ago
• sibylhe / mmm_stan
  Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
  ☆386Updated 3 years ago
• leodema / nlp_fundamentals
  ☆12Updated 5 years ago
• OpenSourceEconomics / skillmodels
  ☆15Updated last month
• david26694 / cluster-experiments
  Power analysis and AB test analysis library
  ☆40Updated 3 weeks ago
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆260Updated this week
• pymc-labs / pymc-marketing
  Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
  ☆938Updated this week
• BayesianModelingandComputationInPython / BookCode_Edition1
  ☆545Updated last year
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,450Updated 2 months ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆84Updated last year
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆145Updated last week
• yyviolin52 / Media-Mix-Modeling
  ☆10Updated 4 years ago