Alternatives and similar repositories for 18330:

Users that are interested in 18330 are comparing it to the libraries listed below

• mitmath / 18335
  18.335 - Introduction to Numerical Methods course
  ☆511Updated this week
• mitmath / matrixcalc
  MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
  ☆356Updated 2 weeks ago
• mitmath / 18S096SciML
  18.S096 - Applications of Scientific Machine Learning
  ☆309Updated 2 years ago
• mitmath / julia-mit
  Tutorials and information on the Julia language for MIT numerical-computation courses.
  ☆750Updated 2 weeks ago
• mitmath / 18303
  18.303 - Linear PDEs course
  ☆140Updated last year
• tobydriscoll / fnc-extras
  Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.
  ☆161Updated 2 years ago
• mitmath / 18338
  ☆95Updated 3 weeks ago
• mitmath / 18S096
  18.S096 three-week course at MIT
  ☆261Updated last year
• mitmath / 18337
  18.337 - Parallel Computing and Scientific Machine Learning
  ☆235Updated last year
• mitmath / 18336
  18.336 - Fast Methods for Partial Differential and Integral Equations
  ☆184Updated 9 months ago
• SciML / SciMLTutorials.jl
  Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
  ☆727Updated 9 months ago
• PKUFlyingPig / MIT18.330
  undergraduate numerical analysis course in MIT
  ☆31Updated 4 years ago
• EricDarve / numerical_linear_algebra
  Julia code for the book Numerical Linear Algebra
  ☆117Updated 2 years ago
• fncbook / FundamentalsNumericalComputation.jl
  Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.
  ☆101Updated 3 months ago
• JuliaDiff / TaylorSeries.jl
  Taylor polynomial expansions in one and several independent variables.
  ☆355Updated 3 weeks ago
• TuringLang / docs
  Documentation and tutorials for the Turing language
  ☆235Updated 2 weeks ago
• mitmath / JuliaComputation
  Repository for Common Ground C25
  ☆98Updated 2 months ago
• mitmath / 18065
  18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
  ☆154Updated 3 months ago
• JuliaDiff / ForwardDiff.jl
  Forward Mode Automatic Differentiation for Julia
  ☆913Updated this week
• JuliaDiff / ChainRules.jl
  forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
  ☆448Updated last month
• SciML / SciMLBook
  Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
  ☆1,873Updated 2 weeks ago
• SciML / DiffEqDocs.jl
  Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
  ☆286Updated this week
• algorithmsbooks / algforopt-notebooks
  Jupyter notebooks associated with the Algorithms for Optimization textbook
  ☆441Updated 2 years ago
• mitmath / 6S083
  Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
  ☆503Updated last year
• sisl / tufte_algorithms_book
  A template for textbooks in the same style as Algorithms for Optimization
  ☆358Updated 8 months ago
• JuliaDiff / BlueStyle
  A Julia style guide that lives in a blue world
  ☆499Updated 11 months ago
• SciML / StochasticDiffEq.jl
  Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
  ☆269Updated last week
• JuliaDiff / FiniteDifferences.jl
  High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)
  ☆303Updated 3 months ago
• SciML / OrdinaryDiffEq.jl
  High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differ…
  ☆576Updated this week
• johnmyleswhite / julia_tutorials
  Tutorials on Julia topics
  ☆197Updated 4 years ago