Alternatives and similar repositories for non-exchangeable-crc

Users that are interested in non-exchangeable-crc are comparing it to the libraries listed below

• drewprinster / conformal-mfcs
  Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…
  ☆27Updated last year
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆66Updated this week
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆70Updated 2 years ago
• aangelopoulos / ltt
  Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
  ☆70Updated 10 months ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 3 years ago
• Bradley-Butcher / Conformers
  Unofficial implementation of Conformal Language Modeling by Quach et al
  ☆29Updated 2 years ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 2 years ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆34Updated 3 weeks ago
• tijana-zrnic / active-inference
  ☆16Updated last year
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆30Updated last year
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 5 months ago
• joneswack / dp-rfs
  This repository contains PyTorch implementations of various random feature maps for dot product kernels.
  ☆22Updated last year
• aangelopoulos / rcps
  Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"
  ☆85Updated last year
• formll / dog
  DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
  ☆63Updated 2 years ago
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆109Updated 2 weeks ago
• frgsimpson / kitt
  Kernel Identification Through Transformers
  ☆14Updated 2 years ago
• aangelopoulos / prediction-powered-inference
  A statistical toolkit for scientific discovery using machine learning
  ☆80Updated last year
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆44Updated 4 months ago
• Sulam-Group / k-rcps
  "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"
  ☆18Updated 4 months ago
• juangamella / causal-chamber
  Public dataset repository for the Causal Chamber Project
  ☆45Updated 3 months ago
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated 2 weeks ago
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆86Updated last year
• google-research / hyperbo
  Pre-trained Gaussian processes for Bayesian optimization
  ☆97Updated 5 months ago
• aradha / recursive_feature_machines
  ☆58Updated 6 months ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆68Updated 8 months ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆69Updated 5 months ago
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆93Updated 3 weeks ago
• LaurenceA / bayesfunc
  ☆15Updated 3 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆122Updated 3 years ago