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This repository serves as an educational collection of interactive notebooks and code examples designed to demonstrate fundamental machine learning and deep learning concepts. It provides a structured environment for exploring data science workflows, ranging from basic numerical computing and statistical analysis to the construction of complex neural network architectures. The project distinguishes itself through a focus on hands-on experimentation, offering practical implementations for tasks such as computer vision, natural language processing, and statistical simulation. Users can engage w
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
This repo contains the curated FsLab stack and acts as a public discussion board for all things FsLab.
The main features of fslaborg/fslab are: Data Science and Analytics.
Projects with overlapping indexed features include: patchy631/machine-learning — This repository serves as an educational collection of interactive notebooks and code examples designed to demonstrate… bluemountaincapital/deedle — Deedle. christopherrabotin/ode. claygod/pihex. cpmech/gosl — Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D… bayeswitnesses/m2cgen — Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,…