James Porter's repositories

MACH-implementation

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

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minsketch

Several implementations of count-min sketches and variants thereof.

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academic-kickstart

Easily create a beautiful website using Academic and Hugo

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Count-Sketch-Optimizers

A compressed adaptive optimizer for training large-scale deep learning models using PyTorch

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countminsketch

YACMSI - Yet Another Count-Min Sketch Implementation

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countminsketch-1

Implementation of Count Min Sketch in C++

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EyeQ_2

v2 EyeQ : Dataset of Retinal Image Quality Assessment

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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.

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learnedsketch

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

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MACH

Extreme Classification in Log Memory via Count-Min Sketch

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MACH-1

A hash-based extreme multi-class classification package

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MACH-Pytorch

Pytorch implement of merged-average classifiers via hashing

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MISSION

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

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skizze

A probabilistic data structure service and storage

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