Alternatives and similar repositories for quanda:

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

• annahedstroem / MetaQuantus
  MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
  ☆33Updated 11 months ago
• google-research / jax-influence
  ☆60Updated 3 years ago
• izmailovpavel / spurious_feature_learning
  ☆44Updated 2 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆53Updated 2 years ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆72Updated last year
• AmeenAli / XAI_Transformers
  Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation
  ☆63Updated 3 years ago
• lkopf / cosy
  CoSy: Evaluating Textual Explanations
  ☆14Updated last month
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆85Updated 9 months ago
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆201Updated 4 months ago
• maxdreyer / PURE
  Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Works…
  ☆14Updated 9 months ago
• rachtibat / zennit-crp
  An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
  ☆124Updated 9 months ago
• YanNeu / spurious_imagenet
  Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
  ☆30Updated last year
• rachtibat / LRP-eXplains-Transformers
  Layer-Wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]
  ☆134Updated this week
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆95Updated last year
• AI4LIFE-GROUP / LLM_Explainer
  Code for paper: Are Large Language Models Post Hoc Explainers?
  ☆30Updated 7 months ago
• maxdreyer / Reveal2Revise
  Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.
  ☆19Updated last year
• MadryLab / datamodels
  ☆28Updated last year
• mateoespinosa / cem
  Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…
  ☆58Updated last month
• aai-institute / pyDVL
  pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
  ☆115Updated last week
• maxdreyer / L-CRP
  Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.
  ☆14Updated last year
• ElisaNguyen / bayesian-tda
  Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
  ☆15Updated last year
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆63Updated 2 years ago
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆95Updated last month
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆63Updated 5 months ago
• ykwon0407 / dataoob
  Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)
  ☆18Updated last year
• jjcherian / conformal-safety
  ☆22Updated 3 months ago
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆26Updated 9 months ago
• deel-ai / Craft
  👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
  ☆62Updated last year