Alternatives and similar repositories for CausalInference

Users that are interested in CausalInference are comparing it to the libraries listed below

• EricSchles / datascience_book
  ☆133Updated last year
• sujitpal / keras-tutorial-odsc2020
  Notebooks for Keras Tutorial presented at ODSC West 2020
  ☆26Updated 5 years ago
• bradyneal / causal-inference-books
  Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…
  ☆60Updated 6 years ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆134Updated 2 years ago
• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated 2 years ago
• DataForScience / Networks
  Network and Graph Algorithms From Scratch
  ☆112Updated 3 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆80Updated 8 months ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆43Updated 6 years ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆165Updated 2 years ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 5 years ago
• lesteve / scikit-learn-tutorial
  This repo has moved to https://github.com/INRIA/scikit-learn-mooc/
  ☆42Updated 5 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆121Updated last year
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• yanneta / dl-course
  Notebooks for deep learning course
  ☆14Updated 3 years ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆266Updated last year
• jwmueller / KDD20-tutorial
  Tutorial on Automated Machine Learning at KDD 2020
  ☆55Updated 5 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 3 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated last year
• ronikobrosly / scipy_2022_causal_inference_tutorial
  A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
  ☆32Updated 3 years ago
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆65Updated 5 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆140Updated 5 years ago
• jcdaniel91 / data-science-python-dask
  Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications
  ☆53Updated 5 years ago
• ogencoglu / causal_twitter_modeling_covid19
  Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.
  ☆10Updated 2 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago