Trending repositories for topic linear-algebra
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！
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
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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...
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...
🕸️ Graphs, finite fields and discrete dynamical systems in Kotlin
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
🕸️ Graphs, finite fields and discrete dynamical systems in Kotlin
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...
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
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！
Linear algebra foundation for the Rust programming language
A linear algebra and mathematics library for computer graphics.
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; ...
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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...
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！
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
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...
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...
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Courses, Articles and many more which can help beginners or professionals.
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...
Large-scale, distributed, sparse linear algebra in Julia.
🕸️ Graphs, finite fields and discrete dynamical systems in Kotlin
Rust numeric library with high performance and friendly syntax
Krylov methods for linear problems, eigenvalues, singular values and matrix functions
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
Introductory course in Computational Physics, including linear algebra, eigenvalue problems, differential equations, Monte Carlo methods and more.
Courses, Articles and many more which can help beginners or professionals.
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
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
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
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
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.
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...
This repository contains math tutorials I created for Bioinformatics and Computational Biology.
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 ...
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
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.
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
A concise library for solving sparse linear systems with direct methods.
This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.
Non-credit online course by DeepLearning.AI
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.
Fixed-size multidimensional arrays. An Array-like type with less indirection at the cost of resizing capability.
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...
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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...
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.
A header-only C++ library for sketching in randomized linear algebra
This repository contains math tutorials I created for Bioinformatics and Computational Biology.
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...
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 ...
A course on Linear Algebra using Python in Jupyter notebooks
This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
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...
A Roadmap to Becoming an AI Engineer, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed b...
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