Alternatives and similar repositories for awesome-efficient-xai:

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

• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆52Updated 11 months ago
• AI-secure / Shapley-Study
  [CVPR 2021] Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?
  ☆33Updated 4 years ago
• m-Just / OoD-Bench
  ☆42Updated 2 years ago
• YaoRujing / Data-Optimization
  Data Optimization in Deep Learning: A Survey
  ☆18Updated last year
• Aboriginer / EOE
  [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"
  ☆13Updated 3 weeks ago
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆28Updated 8 months ago
• daochenzha / autosmote
  [CIKM 2022] Towards Automated Over-Sampling for Imbalanced Classification
  ☆10Updated last year
• ynysjtu / ood_bench
  ☆48Updated 2 years ago
• IandRover / MAML_noisy_contrasive_learner
  ☆17Updated 2 years ago
• RyanWangZf / PAC-Bayes-IB
  Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.
  ☆48Updated 2 years ago
• iancovert / fastshap
  An amortized approach for calculating local Shapley value explanations
  ☆97Updated last year
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆65Updated last year
• changliu00 / causal-semantic-generative-model
  Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …
  ☆73Updated 2 years ago
• LJSthu / HRM
  The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.
  ☆24Updated 3 years ago
• jkatzsam / woods_ood
  ☆16Updated 2 years ago
• oleksost / LMC
  Codebase for the paper titled "Continual learning with local module selection"
  ☆25Updated 3 years ago
• GDPlumb / ExpO
  Explanation Optimization
  ☆13Updated 4 years ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆43Updated last year
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated last year
• ElisaNguyen / bayesian-tda
  Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
  ☆15Updated last year
• DingfanChen / Private-Set
  Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)
  ☆17Updated last year
• ynchuang / ad2kg
  We have created a new Github repository. Please visit https://github.com/ynchuang/DiscoverPath for the latest update.
  ☆17Updated last year
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 3 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…
  ☆91Updated last year
• Out-of-Distribution-Generalization / Out-of-Distribution-Generalization.github.io
  ☆26Updated 2 years ago
• QizhouWang / DOE
  ☆25Updated last year
• ahxt / fair_fairness_benchmark
  FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
  ☆28Updated 10 months ago
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆44Updated 2 years ago
• ybjiaang / ACTIR
  Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"
  ☆16Updated 2 years ago
• bit-ml / AnoShift
  ☆47Updated 8 months ago