Showing results for Vices Vector Vector
GitHub Repo
https://github.com/Traorasp/Spanish_Engllish_Word_Vector_Translator
Traorasp/Spanish_Engllish_Word_Vector_Translator
A translator of english to spanish words and vice versa through the use of word vectors, pca, and transformation matrixes
GitHub Repo
https://github.com/Subrahmanya-Bhide/state-vector-to-orbital-elements-and-vice-versa-conversion
Subrahmanya-Bhide/state-vector-to-orbital-elements-and-vice-versa-conversion
In this project state vector to orbital elements and vice-versa conversion is implemented using python code.
GitHub Repo
https://github.com/compute-io/squareform
compute-io/squareform
Turns a distance vector into a distance matrix, and vice-versa.
GitHub Repo
https://github.com/grammerjam/tv-main
grammerjam/tv-main
Team VICE CITY VECTORS - Main Repo
GitHub Repo
https://github.com/mak4lab/vectorizer
mak4lab/vectorizer
Convert an Array of Strings to an Array of Numbers with an Index and vice versa
GitHub Repo
https://github.com/lukegre/xarray-raster-vector
lukegre/xarray-raster-vector
A lightweight set of tools for converting raster masks to vector polygons and vice-versa. Uses xarray, geopandas and scikit-image as the main building blocks.
GitHub Repo
https://github.com/dineshresearch/vector-control-of-ac-drive-using-single-phase-asynchronous-motor
dineshresearch/vector-control-of-ac-drive-using-single-phase-asynchronous-motor
Electric Drive The function of an electric drives system is the controlled conversion of electrical energy to a mechanical form, and vice versa, via a magnetic field.
GitHub Repo
https://github.com/cawfree/s2-key-array
cawfree/s2-key-array
Convert an S2 geolocation vector into a numeric array with a smaller footprint, and vice-versa.
GitHub Repo
https://github.com/AlexanderLago/Logistic-Regression-Vs-Support-Vector-Machine-Comparison
AlexanderLago/Logistic-Regression-Vs-Support-Vector-Machine-Comparison
When should we use Support Vector Machines Versus Logistic Regression for Classification? I compare both when there are a different number of predictors (p) and a different percentage of Trained (m) and Tested (1000-m) data. The data is credit card information and likelihood to default on loans. I seek to determine who will be likely to default for a loan and reject them and vice versa.
GitHub Repo
https://github.com/EricDev52/Calculate-Vector