Alternatives and similar repositories for cai-causal-graph:

Users that are interested in cai-causal-graph are comparing it to the libraries listed below

• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆136Updated 6 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆80Updated 2 months ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆54Updated 6 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆51Updated this week
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆26Updated last month
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆97Updated last week
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆61Updated last week
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆91Updated this week
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆42Updated last year
• py-why / pywhy-llm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆106Updated 5 months ago
• MichelLutz1994 / Conformal_Prediction
  This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…
  ☆19Updated 10 months ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆35Updated this week
• amazon-science / azcausal
  Causal Inference in Python
  ☆40Updated last month
• Nixtla / utilsforecast
  ☆54Updated this week
• OliverHennhoefer / unquad
  Conformal Anomaly Detection
  ☆41Updated this week
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆116Updated last year
• vincentblot28 / conformalized_gp
  ☆46Updated last month
• Ashkan-Soleymani98 / CORTH-Features-Causal-Feature-Selection-via-Orthogonal-Search
  ☆11Updated 2 years ago
• CausalML-Lab / PCMCI-Omega
  Code for PCMCI-Ω algorithm from the NeurIPS'23 paper "Causal Discovery in Semi-Stationary Time Series"
  ☆15Updated 4 months ago
• pymc-devs / pymc-bart
  ☆102Updated this week
• WojtekFulmyk / mlcausality-krr-paper-replication
  Replication code for the paper "Nonlinear Granger Causality using Kernel Ridge Regression" that introduces and highlights the usage of ml…
  ☆22Updated last year
• ThatShelbs / CausalInferenceTimeSeries
  Causal Inference for Time Series Data (with CausalML Demo)
  ☆13Updated last year
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆109Updated 3 weeks ago
• ronikobrosly / scipy_2022_causal_inference_tutorial
  A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
  ☆33Updated 2 years ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated last year
• PlaytikaOSS / uplift-analysis
  A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…
  ☆24Updated last year
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆28Updated this week
• tblume1992 / MFLES
  ☆114Updated last year
• amazon-science / causal-forecasting
  ☆12Updated last year