Stars
Repo for ML for Public Policy Lab course at CMU
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
A list of awesome resources for Computational Social Science
verifying machine unlearning by backdooring
Articles/ Journals and Videos related to Economics:chart_with_upwards_trend: and Data Science :bar_chart:
Fit interpretable models. Explain blackbox machine learning.
This is a collection of papers and other resources related to fairness.
Repository of experiments in fairness Machine Learning.
Fair Machine Unlearning: Data Removal while Mitigating Disparities
WMDP is a LLM proxy benchmark for hazardous knowledge in bio, cyber, and chemical security. We also release code for RMU, an unlearning method which reduces LLM performance on WMDP while retaining …
Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models. ECCV 2024
List of data journalism courses and programmes from universities and higher education institutions around the world
Official Repo for the 30DaysOfFLCode Challenge Initiative
A repo for collecting and aggregating FL resources during Openminded 30 Days of FL code event
Existing Literature about Machine Unlearning
Awesome Machine Unlearning (A Survey of Machine Unlearning)
Awesome list for data journalists and future data journalists
List of publicly available, free/open source and open access resources for learning and doing data journalism.
An awesome list of papers on privacy attacks against machine learning
Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"
[NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?
Vehicle make and model classification from images, using state-of-the-art computer vision models.
A compilation of links to datajournalism & OSINT tools, guides and resources I find useful to keep at hand.