Alternatives and similar repositories for awesome-efficient-xai

Users that are interested in awesome-efficient-xai are comparing it to the libraries listed below

• YaoRujing / Data-Optimization
  Data Optimization in Deep Learning: A Survey
  ☆19Updated last year
• Aboriginer / EOE
  [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"
  ☆15Updated 6 months ago
• PatrickZH / DeepCore
  Code for coreset selection methods
  ☆239Updated 2 years ago
• PatrickZH / Awesome-Coreset-Selection
  Awesome coreset/core-set/subset/sample selection works.
  ☆178Updated last year
• YuheD / awesome-model-transferability-estimation
  A collection of model transferability estimation methods.
  ☆28Updated 10 months ago
• ningkp / LfOSA
  ☆19Updated 3 years ago
• RyanWangZf / PAC-Bayes-IB
  Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.
  ☆49Updated 3 years ago
• zhangyikaii / Model-Spider
  The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"
  ☆17Updated last year
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆56Updated 2 years ago
• ShiYunyi / Meta-Weight-Net_Code-Optimization
  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
  ☆61Updated 3 years ago
• Jingkang50 / OODSurvey
  The Official Repository for "Generalized OOD Detection: A Survey"
  ☆456Updated 2 years ago
• ynysjtu / ood_bench
  ☆49Updated 2 years ago
• amazon-science / long-tailed-ood-detection
  Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…
  ☆43Updated 2 years ago
• BruceQFWang / learngene
  ☆29Updated 3 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆120Updated 2 years ago
• MaheepChaudhary / Causality-in-Trustworthy-Machine-Learning
  The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…
  ☆94Updated last year
• haizhongzheng / Coverage-centric-coreset-selection
  ☆35Updated last year
• m-Just / OoD-Bench
  ☆44Updated 4 months ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆52Updated last year
• ZhaoxuanWu / DAVINZ-DataValuation
  Training-free data valuation on deep neural network applications. (ICML-2022)
  ☆25Updated 3 years ago
• DingfanChen / Private-Set
  Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)
  ☆17Updated 2 years ago
• ryanchankh / cifar100coarse
  Build PyTorch CIFAR100 using coarse labels
  ☆39Updated 5 years ago
• daviddao / awesome-data-valuation
  💱 A curated list of data valuation (DV) to design your next data marketplace
  ☆125Updated 6 months ago
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆49Updated last year
• bhanML / label-noise-papers
  An update-to-date list for papers related with label-noise representation learning is here.
  ☆90Updated 3 years ago
• justincui03 / dc_benchmark
  ☆86Updated 2 years ago
• bit-ml / AnoShift
  ☆51Updated last year
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆44Updated 2 years ago
• GZWQ / Awesome-Long-Tailed
  Papers about long-tailed tasks
  ☆89Updated 2 years ago
• EnnengYang / Awesome-Forgetting-in-Deep-Learning
  A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
  ☆318Updated last week