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Awesome GitHub RepositoriesMATLAB Vectorized Computations
Using compact, vectorized MATLAB code to execute machine learning algorithms efficiently on array data.
Distinct from Vectorized Data Processing: Distinct from general Vectorized Data Processing: focuses specifically on MATLAB vectorized computations for machine learning algorithms, not NumPy or general array processing.
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Awesome MATLAB Vectorized Computations GitHub Repositories
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- prml/prmlt
PRML/PRMLT
6,207在 GitHub 上查看PRMLT provides self-contained MATLAB implementations of every algorithm from the Pattern Recognition and Machine Learning textbook by Christopher Bishop. The code reproduces the book's exact formulas and notation, making each implementation directly traceable to the source material for educational verification and study. The implementations cover the full range of core machine learning methods from the textbook, including classification, clustering, regression, density estimation, and neural network algorithms. Each module is self-contained with heavy comments, and the code uses compact, vect
Compact, vectorized Matlab functions that execute machine learning algorithms efficiently on array data using matrix operations.
MATLAB
