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！
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
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 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...
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...
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
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...
SIMD-based linear algebra and statistics for data science with dart
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...
SIMD-based linear algebra and statistics for data science with dart
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Sparse tensors in Julia and more! Datastructure-driven array programing language.
Krylov methods for linear problems, eigenvalues, singular values and matrix functions
Directory of Fortran codes on GitHub, arranged by topic
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
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！
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
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...
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...
C++ math library for 2D/3D/4D vector, matrix, quaternion, and geometric algebra.
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...
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
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...
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.
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
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...
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Sparse tensors in Julia and more! Datastructure-driven array programing language.
SIMD-based linear algebra and statistics for data science with dart
Courses, Articles and many more which can help beginners or professionals.
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.
Directory of Fortran codes on GitHub, arranged by topic
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
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
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！
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
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 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...
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
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
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...
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...
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 ...
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Sparse tensors in Julia and more! Datastructure-driven array programing language.
This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.
Courses, Articles and many more which can help beginners or professionals.
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.
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 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...
PHP extension for efficient scientific computing and array manipulation with GPU support
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
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
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 2024 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...
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
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...
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.
Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997
Linear Algebra and Its Application(5th version) case study、project、application、exercise、code、notes and textbook
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 ...
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
Notebooks and notes from going through Deeplearning.AI's linear algebra course
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...
Non-credit online course by DeepLearning.AI
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...
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...
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
Sparse tensors in Julia and more! Datastructure-driven array programing language.