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Chris Gregory's Projects

ants icon ants

Ant foraging simulation

base icon base

Number system base conversion

bfprt icon bfprt

Median of medians quickselect algorithm

cado icon cado

Python notebook IDE with a focus on reactivity

chans icon chans

Interactive tutorial for Chan's convex hull algorithm

cheso icon cheso

Esoteric programming language interpreter

combust icon combust

Simple web visualization of a burning torch

comp-rank icon comp-rank

Interface for ranking sets of items through a series of 1:1 comparisons

contraction icon contraction

Graph contraction prediction with graph neural networks

dice icon dice

Generate Diverse Counterfactual Explanations for any machine learning model.

directed icon directed

Force-directed graph simulation in Java

econml icon econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

fairlearn icon fairlearn

A Python package to assess and improve fairness of machine learning models.

flicker icon flicker

Microcomputer environment monitoring

half-plane icon half-plane

Interactive tutorial of the half-plane range reporting algorithm with fractional cascading

hlucb icon hlucb

Implementation of Hamming-LUCB algorithm for approximate sorting

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