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"
  ☆44Updated last year
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆58Updated last year
• deshen24 / syntheticNN
  ☆24Updated 4 years ago
• 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
  ☆133Updated 6 months ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆44Updated last week
• isgibbs / DtACI
  ☆17Updated 6 months ago
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆36Updated 2 years ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆116Updated 5 months ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆152Updated 3 weeks ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆23Updated last year
• syrgkanislab / orthogonal_regularized_estimation
  Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…
  ☆16Updated 4 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 9 months ago
• causalens / cdml-neurips2020
  This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…
  ☆62Updated last year
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated 6 months ago
• konstantinhess / Efficient_sharp_policy_learning
  ☆14Updated 7 months ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆105Updated last year
• RektPunk / MQBoost
  Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) using LightGBM and XGBoost
  ☆36Updated 10 months ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 11 months ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆20Updated last year
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆108Updated this week
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• Quilograma / ConformalPredictionTutorial
  ☆42Updated 3 years ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆28Updated this week
• CausalML-Lab / PCMCI-Omega
  Code for PCMCI-Ω algorithm from the NeurIPS'23 paper "Causal Discovery in Semi-Stationary Time Series"
  ☆18Updated 11 months ago
• rakshitha123 / WeeklyForecasting
  This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…
  ☆47Updated 3 years ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆41Updated last week
• PlaytikaOSS / uplift-analysis
  A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…
  ☆24Updated 2 years ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆49Updated 3 years ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated 2 years ago