DataForScience / Causality

Related projects ⓘ

Alternatives and complementary repositories for Causality

• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆734Updated 3 months ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆564Updated 5 years ago
• jrfiedler / causal_inference_python_code
  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆1,260Updated 2 years ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆257Updated 9 months ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆240Updated last year
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆441Updated last year
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆735Updated 3 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆548Updated 4 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆149Updated 4 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆255Updated last month
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆678Updated last year
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,128Updated 7 months ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆499Updated this week
• logangraham / arXausality
  A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
  ☆414Updated 4 years ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆914Updated this week
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆217Updated 2 years ago
• bd2kccd / py-causal
  ☆204Updated last year
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆304Updated last month
• microsoft / project-azua
  Data Efficient Decision Making
  ☆240Updated 2 years ago
• ronikobrosly / causal-curve
  A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
  ☆271Updated 5 months ago
• py-why / causaltune
  AutoML for causal inference.
  ☆202Updated 2 months ago
• socialfoundations / whynot
  A Python sandbox for decision making in dynamics
  ☆418Updated last year
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆603Updated 6 months ago
• microsoft / causica
  ☆441Updated last month
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,191Updated 2 weeks ago
• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆327Updated 4 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆341Updated last year
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆138Updated 4 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆153Updated 3 years ago
• bayesoptbook / bayesoptbook.github.io
  Companion webpage for the book "Bayesian Optimization" by Roman Garnett
  ☆879Updated 6 months ago