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
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
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
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...
SLATE is a distributed, GPU-accelerated, dense linear algebra library targetting current and upcoming high-performance computing (HPC) systems. It is developed as part of the U.S. Department of Energy...
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...
SLATE is a distributed, GPU-accelerated, dense linear algebra library targetting current and upcoming high-performance computing (HPC) systems. It is developed as part of the U.S. Department of Energy...
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...
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_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
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
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！
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...
C++ math library for 2D/3D/4D vector, matrix, quaternion, and geometric algebra.
Linear algebra foundation for the Rust programming language
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_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
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
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 2024 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
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Courses, Articles and many more which can help beginners or professionals.
C++ math library for 2D/3D/4D vector, matrix, quaternion, and geometric algebra.
SLATE is a distributed, GPU-accelerated, dense linear algebra library targetting current and upcoming high-performance computing (HPC) systems. It is developed as part of the U.S. Department of Energy...
SLATE is a distributed, GPU-accelerated, dense linear algebra library targetting current and upcoming high-performance computing (HPC) systems. It is developed as part of the U.S. Department of Energy...
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 ...
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...
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
Courses, Articles and many more which can help beginners or professionals.
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
List of resources about foundational knowledge for programmers (supposed to last a few decades)
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...
statistical testing, linear algebra, machine learning, fitting and signal processing in F#
C++ math library for 2D/3D/4D vector, matrix, quaternion, and geometric algebra.
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
simple but efficient kernel regression and anomaly detection algorithms
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
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
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
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...
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 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art t...
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...
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...
Courses, Articles and many more which can help beginners or professionals.
simple but efficient kernel regression and anomaly detection algorithms
SLATE is a distributed, GPU-accelerated, dense linear algebra library targetting current and upcoming high-performance computing (HPC) systems. It is developed as part of the U.S. Department of Energy...
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
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 ...
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...
A collection of labs and homework assignments related to physics, calculus, and linear algebra. The labs offer hands-on experiments and demonstrations related to quantum physics, electrostatics and el...
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...
Courses, Articles and many more which can help beginners or professionals.
Notes and step-by-step exercises resolution to aid students learning the base math for machine learning. Content summed up from the the course from the Imperial London College in Coursera.
Krylov methods for linear problems, eigenvalues, singular values and matrix functions
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 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！
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
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 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...
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...
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
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
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 repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.
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
SLATE is a distributed, GPU-accelerated, dense linear algebra library targetting current and upcoming high-performance computing (HPC) systems. It is developed as part of the U.S. Department of Energy...
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...
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
Notebooks and notes from going through Deeplearning.AI's linear algebra course
Courses, Articles and many more which can help beginners or professionals.
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...