Alternatives and similar repositories for what-is

Users that are interested in what-is are comparing it to the libraries listed below

• mitmath / 18335
  18.335 - Introduction to Numerical Methods course
  ☆548Updated last week
• chebfun / chebfun
  Chebfun: numerical computing with functions.
  ☆637Updated last week
• mitmath / matrixcalc
  MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
  ☆527Updated 6 months ago
• libprima / prima
  PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementatio…
  ☆364Updated this week
• SciML / SciMLBook
  Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
  ☆1,929Updated last month
• mitmath / 18336
  18.336 - Fast Methods for Partial Differential and Integral Equations
  ☆185Updated last year
• mathematical-tours / mathematical-tours.github.io
  Site web of the Mathematical Tours
  ☆505Updated 8 months ago
• mitmath / 18065
  18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
  ☆174Updated 10 months ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆453Updated last month
• sreahw / schuller-geometric
  Source code for lecture notes
  ☆150Updated last year
• LLNL / sundials
  Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcom…
  ☆590Updated this week
• pygae / clifford
  Geometric Algebra for Python
  ☆828Updated 6 months ago
• mitmath / 18S096SciML
  18.S096 - Applications of Scientific Machine Learning
  ☆311Updated 3 years ago
• sigma-py / quadpy
  Numerical integration (quadrature, cubature) in Python
  ☆782Updated 2 years ago
• sisl / tufte_algorithms_book
  A template for textbooks in the same style as Algorithms for Optimization
  ☆373Updated last year
• EnzymeAD / Enzyme
  High-performance automatic differentiation of LLVM and MLIR.
  ☆1,450Updated this week
• chebpy / chebpy
  A Python implementation of Chebfun
  ☆142Updated last week
• r-barnes / MatrixForensics
  Collection of Matrix/Linear Algebra Information
  ☆65Updated last year
• tobydriscoll / fnc-extras
  Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.
  ☆168Updated 2 weeks ago
• algorithmsbooks / algforopt-notebooks
  Jupyter notebooks associated with the Algorithms for Optimization textbook
  ☆472Updated 3 years ago
• SciML / diffeqpy
  Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
  ☆574Updated 7 months ago
• chr1shr / am205_examples
  Harvard Applied Math 205: Code Examples
  ☆89Updated 3 years ago
• mossr / BeautifulAlgorithms.jl
  Concise and beautiful algorithms written in Julia
  ☆1,387Updated 5 months ago
• kthohr / mcmc
  A C++ library of Markov Chain Monte Carlo (MCMC) methods
  ☆186Updated last year
• mitmath / 18303
  18.303 - Linear PDEs course
  ☆144Updated last year
• mitmath / 18330
  18.330 Introduction to Numerical Analysis
  ☆373Updated last year
• WaterLily-jl / WaterLily.jl
  Fast and simple fluid simulator in Julia
  ☆737Updated 2 weeks ago
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,740Updated 2 weeks ago
• jakobnissen / hardware_introduction
  What scientific programmers must know about CPUs and RAM to write fast code.
  ☆437Updated 7 months ago
• chakravala / Grassmann.jl
  ⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
  ☆491Updated this week