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This repository contains the code and data for the paper "Lazy Data Practices Harm Fairness Research".
APLUS ML = A Python Library for Usefulness Simulations of Machine Learning models
Accompanies the EMNLP 2024 paper: "Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions". This repo features Social-AI papers across computing communities, courses, a…
Healthcare-specific tools for bias analysis
😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
The Fairness Metrics Ontology, an ontology for defining and understanding fairness metrics, fairness notions, and other concepts in fair machine learning.
⚡ Automating scientific workflows with AI ⚡
A collection of media and additional resources related to AI and technology ethics
Awesome resources on normalizing flows.
skops is a Python library helping you share your scikit-learn based models and put them in production
Documentation (incl. tutorials, Unity assets and API reference) for the NextMind SDK
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
Editing machine learning models to reflect human knowledge and values
The Recognizing, Exploring, and Articulating Limitations in Machine Learning research tool (REAL ML) is a set of guided activities to help ML researchers recognize, explore, and articulate the limi…
The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and macro…
Compile markdown into an html and pdf book based on pandoc.
Datasets derived from US census data
Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tutorial focuses on basics that work. Getting you 90% of the way …
A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
Examples of programs built using Modal
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
A py.test plugin to validate Jupyter notebooks