Alternatives and similar repositories for pytorch_concepts

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

• mateoespinosa / cem
  Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…
  ☆70Updated this week
• pietrobarbiero / pytorch_explain
  PyTorch Explain: Interpretable Deep Learning in Python.
  ☆163Updated last year
• mertyg / post-hoc-cbm
  Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
  ☆84Updated last year
• rachtibat / zennit-crp
  An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
  ☆133Updated last year
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆54Updated 3 years ago
• ahmedmagdiosman / clevr-xai
  Dataset and code for the CLEVR-XAI dataset.
  ☆32Updated 2 years ago
• yewsiang / ConceptBottleneck
  Concept Bottleneck Models, ICML 2020
  ☆215Updated 2 years ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆248Updated last year
• nickruggeri / CLAP-interpretable-predictions
  Official codebase for the paper "Provable concept learning for interpretable predictions using variational inference".
  ☆14Updated 3 years ago
• rachtibat / LRP-eXplains-Transformers
  Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]
  ☆192Updated 3 months ago
• rushrukh / awesome-explainable-ai
  A repository for summaries of recent explainable AI/Interpretable ML approaches
  ☆84Updated last year
• jjcherian / conformal-safety
  ☆32Updated 10 months ago
• pietrobarbiero / entropy-lens
  ☆18Updated 2 years ago
• JonathanCrabbe / CARs
  This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…
  ☆13Updated 3 years ago
• serre-lab / Lens
  LENS Project
  ☆50Updated last year
• KihoPark / linear_rep_geometry
  ☆106Updated 8 months ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆108Updated 2 years ago
• KempnerInstitute / overcomplete
  👋 Overcomplete is a Vision-based SAE Toolbox
  ☆90Updated 2 months ago
• tatsu-lab / conformal-factual-lm
  ☆32Updated last year
• Trustworthy-ML-Lab / Label-free-CBM
  [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…
  ☆113Updated last year
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆99Updated 8 months ago
• jim-berend / semanticlens
  Mechanistic understanding and validation of large AI models with SemanticLens
  ☆37Updated 3 weeks ago
• annahedstroem / MetaQuantus
  MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
  ☆39Updated last year
• microsoft / otdd
  Optimal Transport Dataset Distance
  ☆172Updated 3 years ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆70Updated 2 years ago
• tleemann / road_evaluation
  Source Code of the ROAD benchmark for feature attribution methods (ICML22)
  ☆23Updated 2 years ago
• Trustworthy-ML-Lab / CLIP-dissect
  [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs
  ☆55Updated last year
• UCSB-NLP-Chang / llm_uncertainty
  ☆38Updated last year
• AmeenAli / XAI_Transformers
  Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation
  ☆65Updated 3 years ago
• acmi-lab / cmu-10732-robustness-adaptivity-shift
  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
  ☆74Updated 2 years ago