Alternatives and similar repositories for causalai:

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

• microsoft / causica
  ☆477Updated 4 months ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆99Updated last month
• py-why / causaltune
  AutoML for causal inference.
  ☆220Updated 3 months ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆124Updated last week
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆217Updated 2 months ago
• M-Nauta / TCDF
  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
  ☆498Updated 3 years ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆246Updated 2 years ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆82Updated last year
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆112Updated 2 months ago
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆73Updated this week
• yromano / cqr
  Conformalized Quantile Regression
  ☆270Updated 3 years ago
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆412Updated last month
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆759Updated 8 months ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆569Updated this week
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆766Updated last week
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆67Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆700Updated 2 years ago
• rakshitha123 / TSForecasting
  This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time…
  ☆226Updated 2 years ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆137Updated 8 months ago
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆114Updated last year
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆620Updated 11 months ago
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆286Updated last year
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆463Updated last year
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated 2 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆172Updated last year
• DAMO-DI-ML / AAAI2022-HCM
  Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data
  ☆38Updated 2 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆264Updated last week
• microsoft / showwhy
  ☆209Updated last year
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago