Alternatives and similar repositories for KDD24-Conformal

Users that are interested in KDD24-Conformal are comparing it to the libraries listed below

• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆59Updated last year
• ThatShelbs / CausalInferenceTimeSeries
  Causal Inference for Time Series Data (with CausalML Demo)
  ☆14Updated 2 years ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆138Updated 8 months ago
• deshen24 / syntheticNN
  ☆25Updated 4 years ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆20Updated 2 years ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆44Updated 2 months ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆25Updated last year
• isgibbs / DtACI
  ☆18Updated 8 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆158Updated last month
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆29Updated this week
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 11 months ago
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆37Updated 3 years ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆50Updated 3 years ago
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆20Updated 9 months ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated 2 weeks ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆36Updated last year
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated this week
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆77Updated last year
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆62Updated 4 months ago
• RickardKarl / causal-falsify
  causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
  ☆36Updated 3 months ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆84Updated 4 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆61Updated this week
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆42Updated 2 months ago
• d2cml-ai / mgtecon634_py
  This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…
  ☆14Updated 2 years ago
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 4 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆106Updated last year