Vectorization
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Matlab implementation of machine learning algorithms from Bishop's Pattern Recognition and Machine Learning textbook.
A header-only library providing portable implementations of SIMD intrinsics for hardware without native support.
A compiler for a C-based SPMD language that generates high-performance SIMD code for CPUs and GPUs.
A portable C++ library providing SIMD vector types for explicit data-parallel programming with zero-overhead abstractions.
A high-performance Clojure library for matrix and linear algebra computations using optimized BLAS/LAPACK routines on CPU and GPU.
An efficient R package for text analysis and NLP with fast vectorization, topic modeling, and word embeddings.
Converts bitmap images to vector graphics with support for multiple formats and tracing algorithms.
A portable, zero-overhead C++ header-only library implementing std::experimental::simd for explicit data-parallel programming.
SIMD-enhanced array operations for F# that leverage CPU vector instructions for significant performance improvements.
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