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GitHub Repo https://github.com/std-microblock/telegram-database

std-microblock/telegram-database

A simple and fast chat records searching bot for Telegram. Supports OCR and sematic vector search.
GitHub Repo https://github.com/adamgann/av-uwa

adamgann/av-uwa

Auxiliary-vector based short data record filtering for underwater acoustic communications
GitHub Repo https://github.com/gayathri1462/Breast-Cancer-Detection-Web-App

gayathri1462/Breast-Cancer-Detection-Web-App

SVM (Support Vector Machines) is used to build and train a model using human cell records, and classify cells to predict whether the samples are benign or malignant and display output using Flask Application On Heroku
GitHub Repo https://github.com/amandaghassaei/LaserCutRecord

amandaghassaei/LaserCutRecord

generate vector cutting paths from digital audio to make a working record
GitHub Repo https://github.com/ClementGre/PDF4Teachers

ClementGre/PDF4Teachers

PDF editing software for teachers, focused on productivity. PDF4Teachers keeps recorded previous annotations, and offers features like marking scale, PDF conversion, vectorial drawing...
GitHub Repo https://github.com/louisblankemeier/STARR-Labeler

louisblankemeier/STARR-Labeler

Package for generating feature vectors and outcome labels from electronic health records.
GitHub Repo https://github.com/bevacqua/vectorcam

bevacqua/vectorcam

:movie_camera: Record gifs out of <svg> elements painlessly
GitHub Repo https://github.com/parmacalcio1913/players-matcher

parmacalcio1913/players-matcher

A production-ready fuzzy matching framework for linking player records across multiple data providers using TF-IDF vectorization and bidirectional validation.
GitHub Repo https://github.com/vintasoftware/entity-embed

vintasoftware/entity-embed

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
GitHub Repo https://github.com/Piyush-Bhardwaj/EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning

Piyush-Bhardwaj/EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.