SCIENCE Vector - Moozonian Search

GitHub Repo https://github.com/OSGeo/grass

OSGeo/grass

GRASS - free and open-source geospatial processing engine

GitHub Repo https://github.com/tonyfast/SpatialStatisticsFFT

tonyfast/SpatialStatisticsFFT

A matlab function to compute Pair and Vector Resolved Spatial Statistics on Materials Science information.

GitHub Repo https://github.com/abhiwalia15/Python-for-Data-Science-and-Machine-Learning-Bootcamp

abhiwalia15/Python-for-Data-Science-and-Machine-Learning-Bootcamp

program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning: Programming with Python NumPy with Python Using pandas Data Frames to solve complex tasks Use pandas to handle Excel Files Web scraping with python Connect Python to SQL Use matplotlib and seaborn for data visualizations Use plotly for interactive visualizations Machine Learning with SciKit Learn, including: Linear Regression K Nearest Neighbors K Means Clustering Decision Trees Random Forests Natural Language Processing Neural Nets and Deep Learning Support Vector Machines and much, much more!

GitHub Repo https://github.com/gyrdym/ml_linalg

gyrdym/ml_linalg

SIMD-based linear algebra and statistics for data science with dart

GitHub Repo https://github.com/Code2Work/data-science-project-10

Code2Work/data-science-project-10

Scalar, Vectors, Matrixes & Mathematical Operations

GitHub Repo https://github.com/ZackAkil/nlp-using-word-vectors

ZackAkil/nlp-using-word-vectors

Code resources for Central London Data Science Project Nights meetup on word vectors

GitHub Repo https://github.com/t-redactyl/vectorising-python

t-redactyl/vectorising-python

A collection of tutorials for using numpy functions to speed up data science code

GitHub Repo https://github.com/Xkonti/govec

Xkonti/govec

Go library providing 2D and 3D vector operations

GitHub Repo https://github.com/byukan/Marketing-Data-Science

byukan/Marketing-Data-Science

Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

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.