causalens / cai-causal-graph

Related projects ⓘ

Alternatives and complementary repositories for cai-causal-graph

• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆53Updated this week
• py-why / pywhy-llm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆84Updated 2 months ago
• salimamoukou / ACPI
  Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…
  ☆25Updated last year
• MichelLutz1994 / Conformal_Prediction
  This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…
  ☆19Updated 7 months ago
• vincentblot28 / conformalized_gp
  ☆46Updated 4 months ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆128Updated 3 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆42Updated last year
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆47Updated this week
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆27Updated 9 months ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆86Updated last month
• ThatShelbs / CausalInferenceTimeSeries
  Causal Inference for Time Series Data (with CausalML Demo)
  ☆12Updated last year
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆43Updated 2 years ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆51Updated 3 months ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆89Updated this week
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆71Updated 9 months ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆36Updated 2 months ago
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆14Updated 5 months ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆22Updated last month
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 3 years ago
• tblume1992 / MFLES
  ☆112Updated 9 months ago
• harrisp / GPyConform
  ☆46Updated last month
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆113Updated last year
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆98Updated 11 months ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆105Updated last year
• CausalML-Lab / PCMCI-Omega
  Code for PCMCI-Ω algorithm from the NeurIPS'23 paper "Causal Discovery in Semi-Stationary Time Series"
  ☆12Updated last month
• 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
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆71Updated this week
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆79Updated 11 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆133Updated 2 months ago