AthenaCore / AwesomeResponsibleAILinks
A curated list of awesome academic research, books, code of ethics, data sets, institutes, maturity models, newsletters, principles, podcasts, reports, tools, regulations and standards related to Responsible, Trustworthy, and Human-Centered AI.
☆74Updated last week
Alternatives and similar repositories for AwesomeResponsibleAI
Users that are interested in AwesomeResponsibleAI are comparing it to the libraries listed below
Sorting:
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.☆114Updated last year
- Responsible AI knowledge base☆103Updated 2 years ago
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆120Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated 2 years ago
- Course for Interpreting ML Models☆52Updated 2 years ago
- 📖 A curated list of resources dedicated to synthetic data☆129Updated 2 years ago
- This is an open-source tool to assess and improve the trustworthiness of AI systems.☆92Updated 3 weeks ago
- A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoi…☆68Updated 4 years ago
- Introduction to Data-Centric AI, MIT IAP 2023 🤖☆100Updated 3 months ago
- Experimental library integrating LLM capabilities to support causal analyses☆206Updated last week
- ☆73Updated 2 months ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆86Updated 2 years ago
- A Natural Language Interface to Explainable Boosting Machines☆67Updated 11 months ago
- Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!☆22Updated last month
- The Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.☆186Updated last year
- Data and code to support "Applied Natural Language Processing" (INFO 256, Fall 2021, UC Berkeley)☆55Updated 3 years ago
- Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute…☆49Updated 10 months ago
- Learn how to create reliable ML systems by testing code, data and models.☆87Updated 2 years ago
- Official repository for the book Time Series Forecasting with Foundation Models☆23Updated last month
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆42Updated 3 months ago
- Explainable Artificial Intelligence through Contextual Importance and Utility☆28Updated 9 months ago
- LangFair is a Python library for conducting use-case level LLM bias and fairness assessments☆214Updated this week
- Detecting Bias and ensuring Fairness in AI solutions☆96Updated 2 years ago
- A comprehensive guide to LLM evaluation methods designed to assist in identifying the most suitable evaluation techniques for various use…☆118Updated 3 weeks ago
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated 3 months ago
- The Foundation Model Transparency Index☆79Updated last year
- Sample notebooks and prompts for LLM evaluation☆131Updated this week
- This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift☆30Updated 3 years ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆68Updated 2 years ago
- PyTorch package to train and audit ML models for Individual Fairness☆66Updated 3 weeks ago