require Vector Vector Vector

GitHub Repo https://github.com/karolzak/images-vector-search

karolzak/images-vector-search

Simple implementation of search for visually similar images using deep learning and vector search. It's based on pretrained ImageNet weights so it doesnt require any additional training

GitHub Repo https://github.com/teamchong/turboquant-wasm

teamchong/turboquant-wasm

TurboQuant WASM SIMD vector compression — 3 bits/dim with fast dot product. Requires relaxed SIMD (Chrome 114+, Firefox 128+, Safari 18+, Node 20+)

GitHub Repo https://github.com/mfaruqui/word-vector-demo

mfaruqui/word-vector-demo

Repository to store webpages and other required code to setup the word vector evaluation demo

GitHub Repo https://github.com/needle-mirror/com.unity.vectorgraphics

needle-mirror/com.unity.vectorgraphics

The vector graphics package provides Sprite integration and SVGImage component into the Vector Graphics module in Unity 6.3 and later. The package is only required if you need Sprite Editor support, and UGUI SVGImage. 📦 [Mirrored from UPM, not affiliated with Unity Technologies.]

GitHub Repo https://github.com/SamPlvs/Object-detection-via-HOG-SVM

SamPlvs/Object-detection-via-HOG-SVM

This is an application of Object detection using Histogram of Oriented Gradients (HOG) as features and Support Vector Machines (SVM) as the classifier. Implemented in python, the following libraries are requires

GitHub Repo https://github.com/vvestman/pytorch-ivectors

vvestman/pytorch-ivectors

GPU accelerated implementation of i-vector extractor training using PyTorch. Requires Kaldi for feature extraction and UBM training. An example script is provided for VoxCeleb data.

GitHub Repo https://github.com/micro-gl/micro-gl

micro-gl/micro-gl

Headers Only C++11 CPU Vector Graphics. no std-lib, no FPU and no GPU required !

GitHub Repo https://github.com/yancymin/GEE-ME-free-vector-character-pack

yancymin/GEE-ME-free-vector-character-pack

GEE! ME is a great set of flat graphics required, 100 cartoon characters and over 400 coolest objects. You can use it in any design or development projects. It’s completely free and just enjoy it~

GitHub Repo https://github.com/intersystems-community/iris-vector-rag

intersystems-community/iris-vector-rag

Enterprise RAG pipelines with native IRIS vector search. 6 production implementations with RAGAS evaluation, LangChain, AWS/Azure configs. No external VectorDB required.

GitHub Repo https://github.com/binoydutt/Resume-Job-Description-Matching

binoydutt/Resume-Job-Description-Matching

The purpose of this project was to defeat the current Application Tracking System used by most of the organization to filter out resumes. In order to achieve this goal I had to come up with a universal score which can help the applicant understand the current status of the match. The following steps were undertaken for this project 1) Job Descriptions were collected from Glass Door Web Site using Selenium as other scrappers failed 2) PDF resume parsing using PDF Miner 3) Creating a vector representation of each Job Description - Used word2Vec to create the vector in 300-dimensional vector space with each document represented as a list of word vectors 4) Given each word its required weights to counter few Job Description specific words to be dealt with - Used TFIDF score to get the word weights. 5) Important skill related words were given higher weights and overall mean of each Job description was obtained using the product for word vector and its TFIDF scores 6) Cosine Similarity was used get the similarities of the Job Description and the Resume 7) Various Natural Language Processing Techniques were identified to suggest on the improvements in the resume that could help increase the match score