Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine
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Updated
Oct 30, 2023 - Java
Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine
PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning Applications
Solves 2D and 3D math problems, including, closest point, intersection, line of sight, and reflection vector:
A collection of highly optimized, SIMD-accelerated (SSE, AVX, FMA, NEON) functions written in C
Detect Duplicated StackOverFlow Questions
Finding Eigenvectors and Eigenvalues by dot product using Python
Calculate the dot product of two double-precision floating-point vectors.
Linear Algebra using Python
LaTex files needed to build notes for the course Linear Algebra I at the University of South Africa
dotProduct(vectorsA, vectorsB) in JIT-optimized JavaScript, WebAssembly/WASM using SIMD vector instructions. pthread, WebGPU, WebGL, WebNN experiments.
Calculate the dot product of two vectors.
Calculate the dot product of two single-precision floating-point vectors.
Calculate the dot product of two vectors.
Calculate the dot product with extended accumulation and result of two single-precision floating-point vectors.
Compares different Matrix dot product implementations in Ruby
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.
Calculate the dot product of two double-precision floating-point vectors.
Spectra-comp is an Ms/Ms spectra comparison tool.
This neural network is designed to be able to take an 20px-by-20px gray-scale image and detect whether the input image contains either a rectangle or a circle.
A generic Vector numeric type. Supports: Scalar arithmetic, vector arithmetic, square root, dot product, normal, reflection, distance, lerp, sum of squares and cosine similarity.
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