Alternatives and similar repositories for selcf_paper

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

• tijana-zrnic / active-inference
  ☆18Updated last year
• Vekteur / multi-output-conformal-regression
  Implementation of multi-output conformal regression methods
  ☆13Updated 3 months ago
• ahmedmalaa / evaluating-generative-models
  ☆22Updated 2 years ago
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆38Updated 3 years ago
• Shai128 / oqr
  Orthogonal Quantile Regression
  ☆12Updated 4 years ago
• Genentech / nodags-flows
  ☆11Updated 4 months ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 3 years ago
• seedatnabeel / SSCP
  SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)
  ☆17Updated 2 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆47Updated 3 years ago
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆24Updated 3 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆77Updated last year
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆67Updated 3 months ago
• frgsimpson / kitt
  Kernel Identification Through Transformers
  ☆14Updated 2 years ago
• federicobergamin / riemannian-laplace-approximation
  Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
  ☆12Updated 2 years ago
• syanga / pycit
  (Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information es…
  ☆31Updated 5 years ago
• clarafy / conformal-for-design
  ☆29Updated 3 years ago
• EtashGuha / R2CCP
  ☆22Updated last year
• MLO-lab / Uncertainty_Estimates_via_BVD
  The official source code to: Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition (AISTATS'23)
  ☆11Updated 2 years ago
• soroushzargar / DAPS
  Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"
  ☆15Updated 2 years ago
• jeremyhengjm / DiffusionBridge
  ☆15Updated 10 months ago
• aangelopoulos / ltt
  Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
  ☆73Updated last year
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆39Updated 3 years ago
• YoungseogChung / calibrated-quantile-uq
  Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)
  ☆44Updated last year
• TURuibo / CauTabBench
  ☆13Updated 7 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
• rpatrik96 / nl-causal-representations
  This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…
  ☆22Updated last year
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆29Updated 3 years ago
• BGU-CS-VIL / dpmmpythonStreaming
  Python wrapper for the DPMMSubClusterStreaming.jl Julia package.
  ☆14Updated 3 years ago
• cgarciae / quantile-regression
  ☆22Updated 4 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆70Updated 11 months ago