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
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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
dotProduct(vectorsA, vectorsB) / matmul in JIT-optimized JavaScript, WebAssembly/WASM using SIMD vector instructions. pthread, WebGPU, WebGL, WebNN experiments.
Here is the content of ML committe in season 2025
Calculate the dot product of two double-precision floating-point vectors.
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Term Frequency - Inverse Document Frequency and Cosine Similarity, used to check how similar two given texts are.
LaTex files needed to build notes for the course Linear Algebra I at the University of South Africa
Calculate the dot product of two vectors.
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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 single-precision floating-point vectors.
Calculate the dot product of two vectors.
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A generic Vector numeric type. Supports: Scalar arithmetic, vector arithmetic, square root, dot product, normal, reflection, distance, lerp, sum of squares and cosine similarity.
Calculate the dot product of two single-precision floating-point vectors.
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