Showing 21-40 of 96 projects
An open-source, distributed machine learning platform with support for various algorithms and autoML.
This GitHub repository is a book on the fundamentals of mathematics, covering topics from basic arithmetic to machine learning, written for developers interested in AI tools and applications.
An optimized BLAS library for high-performance linear algebra and numerical computing.
Solutions and notes for the Machine Learning Specialization by Andrew NG on Coursera.
A collection of notebooks covering quantitative finance and numerical methods in Python.
Smile is a comprehensive statistical machine learning and data science library for Java developers.
A TypeScript library for visualization and creative-coding, enabling developers to create dynamic, interactive graphics and data visualizations.
A comprehensive guide to start and improve in machine learning and AI, covering the latest techniques and tools.
SANA is an efficient high-resolution image synthesis library using a linear diffusion transformer.
A React Native library for creating linear gradients in mobile apps.
High-performance linear algebra library for Rust with matrix, vector, and geometric computing.
Efficient implementations of state-of-the-art linear attention models for large language models and NLP tasks.
This GitHub repository contains code samples and examples for the Machine Learning with TensorFlow book, covering a wide range of machine learning topics.
A large-scale non-linear optimization library for computer vision and other scientific applications.
A collection of basic machine learning algorithm implementations in Python for educational purposes.
An implementation of regular expressions for Rust with linear time matching guarantees.
An open-source experience operating system (XOS) that unifies marketing, sales, operations, and support.
A visual tool for organizing thoughts and notes in a non-linear way, built with TypeScript and React.
Math.NET Numerics is a high-performance, open-source numerical library for .NET, C# and F#.
A book that provides a programmer's introduction to mathematics, covering topics like probability, calculus, and linear algebra.
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