Showing results for Simple Vector Product Product
GitHub Repo
https://github.com/benzoxyl/vector-product
benzoxyl/vector-product
Simple Python3 GUI application (Tkinter) to calculate the vector product of two vectors.
GitHub Repo
https://github.com/davidmensahedem/simpleVectorSearch
davidmensahedem/simpleVectorSearch
A simple vector search application for retrieving product details from a MongoDB collection.
GitHub Repo
https://github.com/asegs/VectorCrossProductGUI
asegs/VectorCrossProductGUI
a simple Fyne GUI for vector cross products
GitHub Repo
https://github.com/vy9m66k759-bit/Vector_Dot_Product_Projection_Simulator_Simple
vy9m66k759-bit/Vector_Dot_Product_Projection_Simulator_Simple
No repository description available.
GitHub Repo
https://github.com/abhijithllai/ReviewSleuth-Fake-Product-Review-Detector
abhijithllai/ReviewSleuth-Fake-Product-Review-Detector
ReviewSleuth is a machine learning-powered web app designed to detect whether a product review is genuine or fake. Built with a Logistic Regression model and TF-IDF vectorizer, the app provides a simple and clean UI for users to paste a review and instantly check its authenticity.
GitHub Repo
https://github.com/FrankSteps/vector-operations-with-haskell
FrankSteps/vector-operations-with-haskell
This project is a simple calculator built in Haskell to calculate the dot product, cross product, and mixed product
GitHub Repo
https://github.com/ppgranger/simple-vector-db
ppgranger/simple-vector-db
Simple Vector DB is a lightweight, efficient database for high-dimensional vectors. It supports dynamic operations like insertion, update, deletion, and comparison (cosine similarity, Euclidean distance, dot product) via a RESTful API. Ideal for machine learning, data science, and scientific computing applications.
GitHub Repo
https://github.com/Ethan-000/simple_vector_dot_product
Ethan-000/simple_vector_dot_product
No repository description available.
GitHub Repo
https://github.com/kostyfisik/OMP-AVX-intrinsics-dotprod
kostyfisik/OMP-AVX-intrinsics-dotprod
Benchmark the effects of compilers and optimisers on the performance of a simple dot product of vectors stored in std::vector and std::array containers (C++20 std::span), shared-memory parallelisation with OpenMP (parallel for and SIMD) as well as manual AVX2/AVX512 intrinsics
GitHub Repo
https://github.com/HappyTa/Matrix_Vector_Product