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GitHub Repo https://github.com/JingheZ/TextMining

JingheZ/TextMining

In this project, there are two major tasks: text data processing and text categorization. In text data processing, we have done tokenization, stemming, normalization, etc. Also, vector space model and statistical language models are used to retrieve similar documents to query. In text categorization, we build a text classification system which includes feature selection, classifiers (Naive Bayes and K Nearest Neighbor using brute force and random vectors), cross validation, and parameter tuning.
GitHub Repo https://github.com/gsatallion8/Feature-Vectors-for-Video-Frames

gsatallion8/Feature-Vectors-for-Video-Frames

Dealing with videos for classification can be difficult as there's both features across space as well as across time. Using a CNN based feature extractor would extract the spacial features and let an RNN/ LSTM take care of the temporal features. This repo contains code to extract the spatial features using pretrained networks.
GitHub Repo https://github.com/645187919/doc2vecDemo

645187919/doc2vecDemo

This is a doc2vec Demo program, which mainly returns similar sentence vectors for the input sentence vector. If there are other requirements, you can modify it on this basis
GitHub Repo https://github.com/danielhenrymantilla/stackvec-rs

danielhenrymantilla/stackvec-rs

A rust crate to use stack-allocated vectors (to improve performance and/or when there is no std)
GitHub Repo https://github.com/abdulhaque2005/vector-minds

abdulhaque2005/vector-minds

Freelancers working globally lose 3–8% of their earnings due to unfavorable exchange rates, hidden platform fees, and currency conversion charges. There is no centralized tool to help them choose the optimal invoicing currency based on real-time market data.
GitHub Repo https://github.com/wentaozhu/Extreme-support-vector-regression

wentaozhu/Extreme-support-vector-regression

The code is used for the Pattern Recognition Letters paper "Robust regression with extreme support vectors". There are kernel based ESVR and conventional ESVR respectively. Please cite it as "Zhu, Wentao, Jun Miao, and Laiyun Qing. "Robust regression with extreme support vectors." Pattern Recognition Letters 45 (2014): 205-210."
GitHub Repo https://github.com/runeksvendsen/python-mv

runeksvendsen/python-mv

http://stackoverflow.com/questions/19169387/is-there-a-python-library-that-can-extract-motion-vectors-from-h-264-p-and-b-fr
GitHub Repo https://github.com/jitrodriguez/NodeJs-Contact-Tracing-Vector-Search

jitrodriguez/NodeJs-Contact-Tracing-Vector-Search

Basic nodejs server to use vector search for contact tracing when there is no possibility to use bluetooth or wifi with pinecone database.
GitHub Repo https://github.com/DesignEngrLab/StarMath

DesignEngrLab/StarMath

While there are already countless math libraries for performing common matrix/array functions, StarMath is distinguished by its simplicity and flexbility. There is no need to declare vectors and matrices in a specific library format. It works simliar to Math.function calls in C#.
GitHub Repo https://github.com/aliemen/Visualization-of-the-Fourier-series

aliemen/Visualization-of-the-Fourier-series

Here is some Python code that allows you to read in SVG files and approximate their paths using a Fourier series. The Fourier series can be animated and visualized, the function can be output as a two dimensional vector for Desmos and there is a method to output the coefficients as LaTeX code.