Compares different Matrix dot product implementations in Ruby
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Updated
May 8, 2017 - Ruby
Compares different Matrix dot product implementations in Ruby
Package gomat is a simple matrix implemenation in Go. We make a light attempt at optimising cache locality, however it is by no means the most optimal implementation.
Solves 2D and 3D math problems, including, closest point, intersection, line of sight, and reflection vector:
Term Frequency - Inverse Document Frequency and Cosine Similarity, used to check how similar two given texts are.
An MPI program that computes the inner product of two vectors
PyTorch implementation for an MPI-based dot-product attention distributed implementation
Determine the similarity of two documents
Linear Algebra using Python
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.
Simple "search engine" implementing dot product in information retrieval system using cosine similiarity
Math Functions: x86 Assembly Language
Machine Learning problems solutions with different types of algorithms.
Quick forms project I threw together when I was tired of calculating vector cross products
A collection of highly optimized, SIMD-accelerated (SSE, AVX, FMA, NEON) functions written in C
Week 10 - Intro to Linear Algebra in Python
Week 09 - Basic Probability in Python
Finding Eigenvectors and Eigenvalues by dot product using Python
Basic Task of taking cross product and dot product using cpp
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