Alternatives and similar repositories for chr:

Users that are interested in chr are comparing it to the libraries listed below

• YoungseogChung / calibrated-quantile-uq
  Training quantile models
  ☆43Updated 5 months ago
• EtashGuha / R2CCP
  ☆22Updated last year
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆43Updated 2 years ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆28Updated 2 years ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆55Updated 2 months ago
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆34Updated 2 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆74Updated 5 months ago
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 2 years ago
• aangelopoulos / ltt
  Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
  ☆66Updated 5 months ago
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆60Updated 3 years ago
• ratschlab / bnn_priors
  Code for the paper "Bayesian Neural Network Priors Revisited"
  ☆57Updated 3 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
• MarkPKCollier / MissingDataVAEs
  ☆19Updated 4 years ago
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆69Updated 3 years ago
• clarafy / conformal-for-design
  ☆30Updated 2 years 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
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆45Updated 2 years ago
• M-Soundouss / CopulaConformalMTR
  Code for paper "Copula-based conformal prediction for Multi-Target Regression"
  ☆33Updated 4 years ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆66Updated 2 years ago
• ratschlab / repulsive_ensembles
  Repo for our paper "Repulsive deep ensembles are Bayesian"
  ☆19Updated 3 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆62Updated 2 months ago
• ahmedmalaa / discriminative-jackknife
  Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.
  ☆8Updated 4 years ago
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆27Updated 11 months ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆27Updated 2 years ago
• TeaPearce / Censored_Quantile_Regression_NN
  NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'
  ☆12Updated 2 years ago
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 2 years ago
• ProgBelarus / MultiValidPrediction
  ☆14Updated 2 years ago
• tfmortie / uaml
  Uncertainty-aware classification.
  ☆16Updated 2 years ago