Alternatives and similar repositories for awesome-confidence-calibration:

Users that are interested in awesome-confidence-calibration are comparing it to the libraries listed below

• MadryLab / datamodels
  ☆28Updated last year
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆55Updated last year
• aengusl / spawrious
  ☆26Updated 11 months ago
• dvirsamuel / DRO-LT
  Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
  ☆29Updated 3 years ago
• AnanyaKumar / transfer_learning
  Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…
  ☆148Updated 2 years ago
• PatrickZH / Awesome-Coreset-Selection
  Awesome coreset/core-set/subset/sample selection works.
  ☆170Updated 7 months ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆69Updated 11 months ago
• abarbu / objectnet-template-pytorch
  baseline mode for the ObjectNet competition
  ☆17Updated 4 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆47Updated last year
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 2 years ago
• somepago / dbViz
  The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…
  ☆77Updated 2 years ago
• RenkunNi / MetaAug
  ☆27Updated 3 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 2 years ago
• garyzhao / ME-ADA
  "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
  ☆50Updated 4 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆65Updated 4 years ago
• bat-sheva / Conformal-Learning
  ☆21Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆44Updated 2 years ago
• mansheej / data_diet
  ☆103Updated last year
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆65Updated last year
• tding1 / Neural-Collapse
  [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
  ☆55Updated 2 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆105Updated last year
• yaodongyu / ProjNorm
  Predicting Out-of-Distribution Error with the Projection Norm
  ☆17Updated 2 years ago
• zeyademam / active_learning
  Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…
  ☆52Updated 3 years ago
• ondrejbohdal / label-distillation
  Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”
  ☆41Updated 4 years ago
• jxzhangjhu / Awesome-OOD-detection
  SOTA work about out-of-distribution detection
  ☆13Updated 3 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆55Updated 2 years ago
• haochenglouis / cores
  Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)
  ☆34Updated 3 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• justincui03 / dc_benchmark
  ☆84Updated 2 years ago
• mdca-loss / MDCA-Calibration
  [CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibra…
  ☆32Updated 2 years ago