Alternatives and similar repositories for explainer

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

• nazneenrajani / interpreting-ml-models-course
  Course for Interpreting ML Models
  ☆52Updated 2 years ago
• visenger / Awesome-ML-Model-Governance
  This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.
  ☆118Updated last year
• loglabs / mltrace-demo
  Python ML pipeline that showcases mltrace functionality.
  ☆28Updated 4 years ago
• alexandrainst / responsible-ai
  Responsible AI knowledge base
  ☆108Updated 2 years ago
• dylan-slack / TalkToModel
  TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
  ☆125Updated 2 years ago
• AthenaCore / AwesomeResponsibleAI
  A curated list of awesome academic research, books, code of ethics, courses, databases, data sets, frameworks, institutes, maturity mode…
  ☆92Updated this week
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated 2 years ago
• KaryFramling / py-ciu
  Explainable Artificial Intelligence through Contextual Importance and Utility
  ☆28Updated last month
• michael-aloys / awesome-weak-supervision
  ☆40Updated 2 years ago
• IBM / inFairness
  PyTorch package to train and audit ML models for Individual Fairness
  ☆66Updated 2 months ago
• fastforwardlabs / concept-drift
  This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift
  ☆30Updated 4 years ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆69Updated last year
• alonjacovi / XAI-Scholar
  Cross-field empirical trends analysis of XAI literature
  ☆22Updated 2 years ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆126Updated 2 years ago
• g8a9 / ferret
  A python package for benchmarking interpretability techniques on Transformers.
  ☆214Updated last year
• enjakokalj / TransSHAP
  ☆50Updated 2 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆92Updated 3 years ago
• AI-Guru / arxiv-reader
  Reads arXiv papers using Text-to-Speech
  ☆62Updated 2 years ago
• YilunZhou / ExSum
  Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"
  ☆64Updated 3 years ago
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆143Updated 2 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆89Updated 3 years ago
• philschmid / setfit-few-shot-classification-sample
  ☆24Updated 2 years ago
• tulasiram58827 / plot_top_losses_keras
  This repo consists of code for plotting top loss images
  ☆13Updated 5 years ago
• INSPIRED-GMU / fairkit-learn
  ☆10Updated 2 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆84Updated 2 years ago
• tusharsarkar3 / TLA
  A comprehensive tool for linguistic analysis of communities
  ☆49Updated 4 years ago
• dcai-course / dcai-course
  Introduction to Data-Centric AI, MIT IAP 2024 🤖
  ☆103Updated 4 months ago
• neubig / nlp-from-scratch-assignment-2022
  An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch
  ☆171Updated 2 years ago
• csinva / imodelsX
  Interpret text data with LLMs (sklearn compatible).
  ☆171Updated last month
• ivylee / model-cards-and-datasheets
  A collection of machine learning model cards and datasheets.
  ☆81Updated last month