{"repo":"gyrdym/ml_linalg","free":true,"listed":false,"github":"https://github.com/gyrdym/ml_linalg","clone":"git clone https://github.com/gyrdym/ml_linalg.git","description":"SIMD-based linear algebra and statistics for data science with dart","language":"Dart","stars":88,"topics":["dart","vector","math","mathematics","linear-algebra","simd","simd-parallelism","simd-vector","simd-library","simd-programming"],"license":"BSD-2-Clause","category":"self-hosted-apps","readme_excerpt":"SIMD-based linear algebra and statistics for data science with Dart TABLE OF CONTENTS - What is linear algebra - What is SIMD - Vectors - A couple of words about the underlying architecture - Vector benchmarks - Vector operations - Vector summation - Vector and List summation - Summation of Vectors of different dtype - Vector subtraction - Vector and List subtraction - Subtraction of Vectors of different dtype - Element-wise Vector by Vector multiplication - Element-wise Vector and List multiplication - Element-wise multiplication of Vectors of different dtype - Element-wise Vector by Vector division - Element-wise Vector and List division - Element-wise division of Vectors of different dtype - Euclidean norm - Manhattan norm - Mean value - Median value - Sum of all vector elements - Product of all vector elements - Element-wise power - Element-wise exp - Dot product - Sum of a vector and a scalar - Subtraction of a scalar from a vector - Multiplication of a vector by a scalar - Division of a vector by a scalar - Euclidean distance between two vectors - Manhattan distance between two vectors - Cosine distance between two vectors - Vector normalization (using Euclidean norm) - Vector normalization (using Manhattan norm) - Vector rescaling (min-max normalization) - Vector serialization - Vector mapping - Matrices - Matrix operations - Creation of diagonal matrix - Creation of scalar matrix - Creation of identity matrix - Creation of column matrix - Creation of row matrix - Sum ","default_branch":null,"files":null,"tree":[],"storefront":"/r/gyrdym","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/gyrdym/ml_linalg/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}