Alternatives and similar repositories for matrixcalc

Users that are interested in matrixcalc are comparing it to the libraries listed below

• mitmath / 18335
  18.335 - Introduction to Numerical Methods course
  ☆570Updated last month
• mitmath / 18337
  18.337 - Parallel Computing and Scientific Machine Learning
  ☆246Updated 2 years ago
• mitmath / 18065
  18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
  ☆183Updated last year
• algorithmsbooks / algforopt-notebooks
  Jupyter notebooks associated with the Algorithms for Optimization textbook
  ☆522Updated 3 years ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆225Updated last year
• thomasahle / tensorgrad
  Machine Learning with Symbolic Tensors
  ☆356Updated 3 weeks ago
• mitmath / 18330
  18.330 Introduction to Numerical Analysis
  ☆383Updated last year
• mitmath / 18S096SciML
  18.S096 - Applications of Scientific Machine Learning
  ☆313Updated 3 years ago
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆134Updated last year
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆198Updated 2 years ago
• higham / what-is
  Important concepts in numerical linear algebra and related areas
  ☆807Updated 2 years ago
• mitmath / 18338
  ☆105Updated this week
• MilesCranmer / SymbolicRegression.jl
  Distributed High-Performance Symbolic Regression in Julia
  ☆754Updated this week
• mitmath / julia-mit
  Tutorials and information on the Julia language for MIT numerical-computation courses.
  ☆801Updated 11 months ago
• probml / ssm-book
  Interactive textbook on state-space models
  ☆201Updated 2 years ago
• mitmath / 18336
  18.336 - Fast Methods for Partial Differential and Integral Equations
  ☆189Updated last year
• SciML / SciMLBook
  Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
  ☆1,974Updated 2 weeks ago
• DS-4-DS / DS4DS_Course
  Data Science for Dynamical System Course
  ☆146Updated 2 months ago
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆282Updated 7 months ago
• EricDarve / numerical_linear_algebra
  Julia code for the book Numerical Linear Algebra
  ☆128Updated 3 years ago
• mitmath / JuliaComputation
  Repository for Common Ground C25
  ☆104Updated last year
• adrhill / julia-ml-course
  Julia for Machine Learning course at TU Berlin
  ☆269Updated 3 months ago
• chr1shr / am205_examples
  Harvard Applied Math 205: Code Examples
  ☆97Updated 3 years ago
• Atcold / Energy-Book
  Deep Learning, an Energy Approach
  ☆239Updated 7 months ago
• fncbook / FundamentalsNumericalComputation.jl
  Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.
  ☆112Updated last year
• sisl / tufte_algorithms_book
  A template for textbooks in the same style as Algorithms for Optimization
  ☆394Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆506Updated 5 months ago
• YinTat / optimizationbook
  ☆149Updated this week
• RMT-TheoryAndPractice / RMT
  ☆127Updated 8 years ago
• vbartle / VMLS-Companions
  These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
  ☆351Updated 5 years ago