Alternatives and similar repositories for Blog-Posts

Users that are interested in Blog-Posts are comparing it to the libraries listed below

• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆103Updated 4 months ago
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆329Updated last year
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆189Updated last year
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆84Updated last year
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 10 months ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆103Updated last year
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆84Updated last year
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 3 months ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆143Updated 3 weeks ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆162Updated 2 years ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆129Updated 5 months ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆72Updated 4 months ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆42Updated this week
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆255Updated this week
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆24Updated 2 weeks ago
• Mixtape-Sessions / Machine-Learning
  Machine Learning and Causal Inference taught by Brigham Frandsen
  ☆208Updated 8 months ago
• apoorvalal / ding_causalInference_python
  python implementation of Peng Ding's "First Course in Causal Inference"
  ☆171Updated last year
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆257Updated 9 months ago
• TaddyLab / BDS
  Code and examples from Business Data Science
  ☆169Updated 4 years ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆50Updated 11 months ago
• d2cml-ai / csdid
  CSDID
  ☆33Updated last month
• d2cml-ai / 14.388_py
  This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …
  ☆16Updated 2 years ago
• ewharton / ab-testing-resources
  ☆83Updated last year
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆40Updated last week
• ostojanovic / causalML
  ☆33Updated 11 months ago
• aleixrvr / CausalInference4DataScience
  ☆23Updated 5 months ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆637Updated last month
• ksecology / FixedEffectModel
  Fixedeffectmodel: panel data modeling in Python
  ☆80Updated 3 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago