Alternatives and similar repositories for causalai

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

• microsoft / causica
  ☆499Updated 9 months ago
• py-why / causaltune
  AutoML for causal inference.
  ☆230Updated 8 months ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆106Updated last month
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆244Updated last month
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆226Updated 2 months ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆89Updated 5 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• Nixtla / transfer-learning-time-series
  Transfer 🤗 Learning for Time Series Forecasting
  ☆251Updated 9 months ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆115Updated 4 months ago
• M-Nauta / TCDF
  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
  ☆518Updated 3 years ago
• microsoft / showwhy
  ☆213Updated last year
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆185Updated last year
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆789Updated 5 months ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆646Updated last week
• microsoft / project-azua
  Data Efficient Decision Making
  ☆248Updated 3 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…
  ☆232Updated 2 years ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆58Updated last year
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆83Updated last month
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆145Updated last week
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆120Updated last year
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• PriorLabs / tabpfn-time-series
  Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)
  ☆262Updated this week
• yromano / cqr
  Conformalized Quantile Regression
  ☆284Updated 3 years ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated 5 months ago
• worldbank / REaLTabFormer
  A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
  ☆233Updated 2 months ago
• fzi-forschungszentrum-informatik / TSInterpret
  An Open-Source Library for the interpretability of time series classifiers
  ☆140Updated 9 months ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆63Updated 4 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆57Updated last month
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆441Updated 2 weeks ago
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆93Updated 2 months ago