Alternatives and similar repositories for conditional-conformal-pvalues:

Users that are interested in conditional-conformal-pvalues are comparing it to the libraries listed below

• aangelopoulos / ltt
  Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
  ☆66Updated 4 months ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆52Updated last month
• Shai128 / oqr
  Orthogonal Quantile Regression
  ☆11Updated 3 years ago
• mzaffran / ConformalPredictionMissingValues
  ☆11Updated last year
• seedatnabeel / SSCP
  SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)
  ☆17Updated 2 years ago
• Jayaos / TCPTS
  Repository for the paper "Transformer Conformal Prediction for Time Series"
  ☆12Updated 9 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆22Updated 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 3 years ago
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆19Updated 3 years ago
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆59Updated 2 years ago
• YoungseogChung / calibrated-quantile-uq
  Training quantile models
  ☆43Updated 3 months ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆26Updated 3 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆74Updated 4 months ago
• ProgBelarus / MultiValidPrediction
  ☆14Updated 2 years ago
• aangelopoulos / private_prediction_sets
  Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.
  ☆17Updated last year
• jjcherian / fairaudit
  Statistical inference for fairness auditing
  ☆13Updated last year
• amber0309 / ANM-MM
  Python code for NeurIPS 2018 paper "Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models"
  ☆22Updated 5 years ago
• francescomontagna / causally
  Code for the causal benchmark library
  ☆12Updated last week
• juangamella / icp
  Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…
  ☆20Updated last year
• EtashGuha / R2CCP
  ☆21Updated 11 months ago
• salimamoukou / ACPI
  Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…
  ☆28Updated 2 years ago
• udellgroup / gcimpute
  Missing value imputation using Gaussian copula
  ☆34Updated 11 months ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 4 years ago
• kwuthrich / Replication_DCP
  ☆8Updated 3 years ago
• WenxinZhou / conquer
  Convolution Smoothed Quantile Regression
  ☆17Updated 5 months ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆67Updated 3 years 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…
  ☆59Updated 7 months ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆72Updated 3 years ago