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James Porter's Projects

eyeq_2 icon eyeq_2

v2 EyeQ : Dataset of Retinal Image Quality Assessment

heavy-hitters icon heavy-hitters

This repository contains implementations of the Count-Min and Count-Median sketches. Furthermore it contains 6 different implementations of approximate heavy hitters algorithms.

learnedsketch icon learnedsketch

LearnedSketch: Learning-Based Frequency Estimation Algorithms (ICLR 2019)

mach icon mach

Extreme Classification in Log Memory via Count-Min Sketch

mach-1 icon mach-1

A hash-based extreme multi-class classification package

mach-implementation icon mach-implementation

Sklearn type implementation of Merged-Average Classifiers via Hashing technique outlined in paper here: https://arxiv.org/pdf/1910.13830.pdf

mach-pytorch icon mach-pytorch

Pytorch implement of merged-average classifiers via hashing

minsketch icon minsketch

Several implementations of count-min sketches and variants thereof.

mission icon mission

MISSION: Ultra Large-Scale Feature Selection using Count-Sketches

skizze icon skizze

A probabilistic data structure service and storage

super_describe_jcp icon super_describe_jcp

An improved describe() function that takes a pandas DataFrame as an input and returns a transposed DataFrame with various statistical summaries of the columns.

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