Grab Vector Vector

GitHub Repo https://github.com/elliot2/VectorGrab

elliot2/VectorGrab

An OpenAI embeddings Vector Base query implementation tool with PDF wrapper

GitHub Repo https://github.com/nathantspencer/auto_vectorbase

nathantspencer/auto_vectorbase

A web scraper script for grabbing data from vectorbase.org and writing to a spreadsheet. Developed for West Virginia University.

GitHub Repo https://github.com/mitchellciupak/RespirationRate-OpticalFlowEstimation

mitchellciupak/RespirationRate-OpticalFlowEstimation

Grabs frames from your webcam and feed them into the optical flow estimation code you found, and then overlay the vectors on the live video.

GitHub Repo https://github.com/venopyX/pic-grabber

venopyX/pic-grabber

Chrome extension that allows you to download any image from any webpage, including protected and dynamically loaded images.

GitHub Repo https://github.com/FayaDev/VectorGrabber

FayaDev/VectorGrabber

No repository description available.

GitHub Repo https://github.com/enymph/bigbluebutton-svg-grabber

enymph/bigbluebutton-svg-grabber

Grabs SVG vectors from the given BigBlueButton URL then downloads them.

GitHub Repo https://github.com/hughsk/vectors

hughsk/vectors

A grab bag of vector utility functions for 2D and 3D vectors that operate on plain arrays

GitHub Repo https://github.com/DotX-47/BlueVector

BlueVector is an all-in-one Python-based network analysis and inspection toolkit built with a terminal-first approach. It provides multiple modules including DNS resolution, ping sweeps, TCP sweeps, multi-threaded port scanning, banner grabbing, and web hyperlink extraction. The tool is designed to help users understand how networks and services r

GitHub Repo https://github.com/Avinash237/Support-Vector-Regression

Avinash237/Support-Vector-Regression

Support Vector Regression is quite different than other Regression models. It uses Support Vector Machine, a classification algorithm) algorithm to predict a continuous variable. While other linear regression models try to minimize the error between the predicted and the actual value, Support Vector Regression tries to fit the best line within a predefined or threshold error value. What does in this sense, it tries to classify all the prediction lines in two types, ones that pass through the error boundary( space separated by two parallel lines) and ones that Those lines which do not pass the error boundary are not considered as the difference between the predicted value and the actual value has exceeded the error threshold, The lines that pass, are considered for a potential support vector to predict the value of an unknown. The following illustration will help you to grab this concept.

GitHub Repo https://github.com/risinglf/FrameVectorsGrabber

risinglf/FrameVectorsGrabber

No repository description available.