Code to reproduce experiments from the paper "From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms"

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

A third-party project that aims to facilitate the integration between Obsidian.md and Zotero, by providing a set of community plugins for both Obsidian and Zotero.

THE Copilot in Obsidian

Multiple Frequency Estimation Under Local Differential Privacy in Python

Determinantal Point Processes in Julia

💡 Adversarial attacks on explanations and how to defend them

Meta-package for data analysis in Julia, modeled after the R tidyverse.

Convert Machine Learning Code Between Frameworks

Source du manuel Analyse et conception de logiciels (Quarto Markdown)

Duet: A Language for Differential Privacy

Simple branch-and-bound algorithm for teaching/tutorial purposes: solving a knapsack problem

Code to compute lower bounds lb1 and lb2 for the CCVRP from the paper "An effective memetic algorithm for the cumulative capacitated vehicle routing problem. Ngueveu, Prins, Calvo (2010), C&OR 37(11)"

Fool the SHAP explainations by biasing the background distribution

User-friendly secure computation engine based on secure multi-party computation

Characterize predictive disparities over the set of good models. Paper to appear in ICML 2021

Python codes for influential instance estimation

Code for our paper "Fairwashing: the risk of rationalization" (https://arxiv.org/abs/1901.09749) accepted at ICML 2019.

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

A collection of Jupyter notebooks with simple examples on how to use Makie

Datasets derived from US census data

Python codes for sampling seemingly fair dataset by using stealthily biased sampling.

Concise and beautiful algorithms written in Julia

Resources for people running research groups.

An FHE compiler for C++

Julia Toolkit with fairness metrics and bias mitigation algorithms

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…

Symbolic programming for the next generation of numerical software

Branch-and-Price-and-Cut in Julia