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
academic-kickstart
Easily create a beautiful website using Academic and Hugo
Count-Sketch-Optimizers
A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
countminsketch
YACMSI - Yet Another Count-Min Sketch Implementation
countminsketch-1
Implementation of Count Min Sketch in C++
EyeQ_2
v2 EyeQ : Dataset of Retinal Image Quality Assessment
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
LearnedSketch: Learning-Based Frequency Estimation Algorithms (ICLR 2019)
MACH
Extreme Classification in Log Memory via Count-Min Sketch
MACH-Pytorch
Pytorch implement of merged-average classifiers via hashing
skizze
A probabilistic data structure service and storage