Alternatives and similar repositories for corelay

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

• virelay / virelay
  ViRelAy is a visualization tool for the analysis of data as generated by CoRelAy.
  ☆29Updated 6 months ago
• chr5tphr / zennit
  Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
  ☆239Updated last week
• rachtibat / zennit-crp
  An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
  ☆140Updated 3 weeks ago
• ahmedmagdiosman / clevr-xai
  Dataset and code for the CLEVR-XAI dataset.
  ☆33Updated 2 years ago
• annahedstroem / MetaQuantus
  MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
  ☆40Updated last year
• pankessel / adv_explanation_ref
  reference implementation for "explanations can be manipulated and geometry is to blame"
  ☆37Updated 3 years ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆252Updated last year
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆96Updated 4 months ago
• understandable-machine-intelligence-lab / Quantus
  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
  ☆636Updated 2 weeks ago
• microsoft / otdd
  Optimal Transport Dataset Distance
  ☆174Updated 3 years ago
• serre-lab / Lens
  LENS Project
  ☆52Updated last year
• Sulam-Group / h-shap
  h-Shap provides an exact, fast, hierarchical implementation of Shapley coefficients for image explanations
  ☆16Updated 2 years ago
• PGM-Lab / probai-2021-pyro
  Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
  ☆48Updated 4 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆55Updated 3 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated 2 years ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆70Updated 3 years ago
• lfochamon / csl
  csl: PyTorch-based Constrained Learning
  ☆12Updated 3 years ago
• april-tools / cirkit
  a python framework to build, learn and reason about probabilistic circuits and tensor networks
  ☆133Updated last month
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆64Updated 8 months ago
• rachtibat / LRP-eXplains-Transformers
  Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]
  ☆219Updated 6 months ago
• chihkuanyeh / concept_exp
  code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"
  ☆54Updated 3 years ago
• probabilisticai / probai-2021
  Materials of the Nordic Probabilistic AI School 2021.
  ☆93Updated 4 years ago
• acmi-lab / cmu-10732-robustness-adaptivity-shift
  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
  ☆77Updated 3 years ago
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆152Updated 5 years ago
• aida-ugent / fairret
  A fairness library in PyTorch.
  ☆32Updated last year
• aai-institute / pyDVL
  pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
  ☆142Updated 3 weeks ago
• adebayoj / sanity_checks_saliency
  ☆113Updated 3 years ago
• socialfoundations / error-parity
  Achieve error-rate fairness between societal groups for any score-based classifier.
  ☆19Updated 5 months ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆85Updated 3 years ago
• eberharf / cfl
  ☆19Updated 8 months ago