Trending repositories for topic linear-algebra
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math c...
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skills...
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Courses, Articles and many more which can help beginners or professionals.
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing hig...
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art t...
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Courses, Articles and many more which can help beginners or professionals.
Directory of Fortran codes on GitHub, arranged by topic
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skills...
Linear algebra foundation for the Rust programming language
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing hig...
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine...
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math c...
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math c...
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skills...
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art t...
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing hig...
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine...
Statistics, Information Measures, Linear Algebra, Cholesky Matrix Decomposition, Mahalanobis Distance, Householder QR Decomposition, Clifford Algebra, Multidimensional Data Analysis, Geometric Median,...
SLICOT - A Fortran subroutines library for systems and control
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Linear algebra foundation for the Rust programming language
Directory of Fortran codes on GitHub, arranged by topic
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine...
Courses, Articles and many more which can help beginners or professionals.
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing hig...
Linear algebra package for rust-ndarray using LAPACK binding
Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art t...
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math c...
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine...
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
An applied Linear Algebra textbook flavored with Earth Science topics
SLICOT - A Fortran subroutines library for systems and control
A course on Linear Algebra using Python in Jupyter notebooks
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine...
Direct solution of large sparse systems of linear algebraic equations in pure Julia
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel ...
Directory of Fortran codes on GitHub, arranged by topic
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
simple but efficient kernel regression and anomaly detection algorithms
This repository contains math tutorials I created for Bioinformatics and Computational Biology.
A Swift library inspired by NumPy, focused on efficient numerical computation, array operations, and linear algebra for iOS and macOS development.
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art t...
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math c...
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine...
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Courses, Articles and many more which can help beginners or professionals.
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing hig...
A Swift library inspired by NumPy, focused on efficient numerical computation, array operations, and linear algebra for iOS and macOS development.
This repository contains math tutorials I created for Bioinformatics and Computational Biology.
A header-only C++ library for sketching in randomized linear algebra
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine...
Fixed-size multidimensional arrays. An Array-like type with less indirection at the cost of resizing capability.
A course on Linear Algebra using Python in Jupyter notebooks
This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel ...
This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.
Rust Scientific Libary. ODE and DAE (Runge-Kutta) solvers. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers (MUMPS, UMFPACK). Probability distributions. Tensor ca...
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Courses, Articles and many more which can help beginners or professionals.
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997