Alternatives and similar repositories for explainer

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

• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 5 years ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆67Updated 11 months ago
• dylan-slack / TalkToModel
  TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
  ☆120Updated last year
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆70Updated last year
• alexandrainst / responsible-ai
  Responsible AI knowledge base
  ☆103Updated 2 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• yoshavit / fairml-farm
  A collection of implementations of fair ML algorithms
  ☆12Updated 7 years ago
• veritas-project / phase1
  ☆20Updated 4 years ago
• elsanns / xai-nlp-notebooks
  ☆19Updated 4 years ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated last year
• ayong8 / FairSight
  A visual analytic system for fair data-driven decision making
  ☆25Updated 2 years ago
• giorgiovisani / lime_stability
  ☆33Updated 11 months ago
• KaryFramling / py-ciu
  Explainable Artificial Intelligence through Contextual Importance and Utility
  ☆28Updated 9 months ago
• shahrukhx01 / bert-probe
  BERT Probe: A python package for probing attention based robustness to character and word based adversarial evaluation. Also, with recipe…
  ☆18Updated 2 years ago
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆42Updated 3 months ago
• socialfoundations / folktexts
  Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!
  ☆22Updated last month
• nazneenrajani / interpreting-ml-models-course
  Course for Interpreting ML Models
  ☆52Updated 2 years ago
• MilaNLProc / language-invariant-properties
  ☆22Updated 3 years ago
• AthenaCore / AwesomeResponsibleAI
  A curated list of awesome academic research, books, code of ethics, data sets, institutes, maturity models, newsletters, principles, podc…
  ☆74Updated last week
• aneesha / Natural-Language-Database-Queries-with-Zero-Shot-RoBERTa-based-SQL-Query-Generation
  ☆11Updated 4 years ago
• philschmid / setfit-few-shot-classification-sample
  ☆23Updated 2 years ago
• IBM / inFairness
  PyTorch package to train and audit ML models for Individual Fairness
  ☆66Updated last month
• alonjacovi / XAI-Scholar
  Cross-field empirical trends analysis of XAI literature
  ☆20Updated last year
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆17Updated last year
• IBM / model-recycling
  Ranking of fine-tuned HF models as base models.
  ☆35Updated last month
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆66Updated 2 years ago
• Brett-Kennedy / CountsOutlierDetector
  Interpretable, intuitive outlier detector intended for categorical and numeric data.
  ☆10Updated 11 months ago
• fastforwardlabs / concept-drift
  This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift
  ☆30Updated 3 years ago
• visenger / Awesome-ML-Model-Governance
  This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.
  ☆114Updated last year
• mateoespinosa / remix
  Rule Extraction Methods for Interactive eXplainability
  ☆43Updated 3 years ago