Showing results for changers Vector Product Vector
GitHub Repo
https://github.com/PavanVkAlapati/Shopify_automation
PavanVkAlapati/Shopify_automation
AI sales bot that syncs Shopify product data into Qdrant using webhooks, enabling vector search and change-aware product intelligence.
GitHub Repo
https://github.com/kankbokans/ProductReviewGenie
kankbokans/ProductReviewGenie
Shopping online can be overwhelming. You search for a simple pair of shoes, but end up scrolling through countless options—many irrelevant, some too expensive, others just not right. Traditional search engines rely on keywords, often missing what you need.AI-powered product discovery chatbot changes this. Vector-based search understands intent
GitHub Repo
https://github.com/emilstahl97/Linear-Algebra
emilstahl97/Linear-Algebra
Vectors, matrices, linear equations, Gaussian elimination, vector geometry with dot product and vector product, determinants, vector spaces, linear independence, bases, change of basis, linear transformations, the least-squares method, eigenvalues, eigenvectors, quadratic forms, orthogonality, inner-product space, Gram-Schmidt's method.
GitHub Repo
https://github.com/divyaKh/Vending-Machine
divyaKh/Vending-Machine
The proposed machine which can vend four products that is coffee, cold drink, candies and snacks. Here, ten_bucks and twenty_bucks inputs represents rupees 10/- and 20/- notes respectively. A cancel input is also used when the user wants to withdraw his request and also the money will be returned through the return output. Return, product and change are the outputs. Return and change vectors are seven bits wide. Money_count is an internal signal which can be updated at every transition. This signal is also seven bits wide. If the inserted money is more than the total money of products then the change will be returned through the change output signal. There are also two input signal clk and reset. The machine will work on the positive edge of clock and will return to its initial state when reset button is pressed.
GitHub Repo
https://github.com/boxabirds/vectorplayground
boxabirds/vectorplayground
Simple tool to help understand vector and linear algebra basics: dot product, projections, changing basis etc.
GitHub Repo
https://github.com/arkidbera/Fission-product-release
arkidbera/Fission-product-release
Fission product release has been a matter of study since many years. Its importance lies in the fact that the release of radionuclides affect radiological impact due to a postulated accident scenario. The fission product gases released mainly consist of Xenon and Krypton, due to their low boiling point temperature and insolubility in the fuel matrix. These gases are released from fuel pellets due to the rupture of cladding to the coolant in the primary heat transport system. No standard method for calculation of fission product release gases has yet been found, due to the involvement of numerous factors, leading to variance in results. In our project, we have attempted to do the same, by creating a fission release model using various relations and carrying out certain computations on MATLAB, which includes vectorized implementations, iterative computations and plotting various curves to visualize the results obtained. The aim of our model is to find the fractional release of fission product gases with respect to fuel temperature, which depends on linear heat rating (i.e. power extracted per unit length of fuel pin) and burnup of the fuel. Our model also finds certain curves representing the behaviour of fractional release with respect to burnup, by varying grain radius and Diffusion Coefficient. The model has further been used as a tool for certain time varying analyses, where we have simulated a condition where the average temperature of the fuel pellets is changing with time, and thus, found the value of release fraction for those time instants. Finally, certain statistical analyses have been carried out, which include input parameter uncertainty, model parameter uncertainty and time-varying error analysis. We have used algorithms like Box-Muller transform in our study. Also, tolerance bands have been derived using confidence interval values for time-varying error analysis.
GitHub Repo
https://github.com/UtkuKacar/Time-Series-Analysis-of-Electricity-Production
UtkuKacar/Time-Series-Analysis-of-Electricity-Production
This project aims to analyze seasonal and trend changes in electricity production in India using time series analysis methods. The study utilizes annual electricity production data from India to create and analyze a Support Vector Regression (SVR) model.
GitHub Repo
https://github.com/suy1968/Sentiment_analysis-using-nltk
suy1968/Sentiment_analysis-using-nltk
This project was aimed to used sentiment analysis to determined product recommendation. We started with the data engineering and text mining, which cover change text into tokens, remove punctuation, numbers, stop words and normalization them by using lemmatization. Following we used bag of words model to convert the text into numerical feature vectors.
GitHub Repo
https://github.com/neo4j-field/neo4j-sparse-vector-search
neo4j-field/neo4j-sparse-vector-search
Feasibility POC: Sparse vector search on Neo4j's existing Lucene fulltext index using the "fake words" trick. Enables semantic search (synonyms, term expansion) without product changes. Query "automobile" and find "car"—something BM25 alone cannot do.
GitHub Repo
https://github.com/Mohamedsalem-fn/complianceguard