saigerutherford
Creative, curious, and kind. Working to make systems more ethical, accessible, and useful. Utility >> Intelligence.
Donders Institute & UMichTübingen, Germany
saigerutherford's Stars
som-shahlab/aplusml
APLUS ML = A Python Library for Usefulness Simulations of Machine Learning models
ganatra-v/PRECISe
Official code implementation for PRECISe
l-mathur/social-ai
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, and dissertations.
neubig/research-career-tools
KenSciResearch/fairMLHealth
Healthcare-specific tools for bias analysis
daviddao/awful-ai
😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
frankj-rpi/fairness-metrics-ontology
The Fairness Metrics Ontology, an ontology for defining and understanding fairness metrics, fairness notions, and other concepts in fair machine learning.
dangom/org-thesis
Writing a Ph.D. thesis with Org Mode
eimenhmdt/autoresearcher
⚡ Automating scientific workflows with AI ⚡
minad/jinx
🪄 Enchanted Spell Checker
koaning/scikit-prune
Prune your sklearn models
enceladosaurus/ethics-resources
A collection of media and additional resources related to AI and technology ethics
janosh/awesome-normalizing-flows
Awesome resources on normalizing flows.
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
skops-dev/skops
skops is a Python library helping you share your scikit-learn based models and put them in production
Snapchat/NextMind
Documentation (incl. tutorials, Unity assets and API reference) for the NextMind SDK
brainflow-dev/brainflow
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
MITMediaLabAffectiveComputing/WordleLab
interpretml/gam-changer
Editing machine learning models to reflect human knowledge and values
jesmith14/REAL-ML
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 limitations that arise in their research.
MICA-MNI/ENIGMA
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 macroscale brain organization. 🤠
mrtzh/unbuch
Compile markdown into an html and pdf book based on pandoc.
socialfoundations/folktables
Datasets derived from US census data
JesperDramsch/ml.recipes
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 to top-tier reproducibility.
vanderschaarlab/autoprognosis
A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
modal-labs/modal-examples
Examples of programs built using Modal
AllenDowney/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
google-deepmind/alphatensor
computationalmodelling/nbval
A py.test plugin to validate Jupyter notebooks
SMILELab-FL/FedLab
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.