Alternatives and similar repositories for 18065:

Users that are interested in 18065 are comparing it to the libraries listed below

• mitmath / 18337
  18.337 - Parallel Computing and Scientific Machine Learning
  ☆237Updated 2 years ago
• mitmath / matrixcalc
  MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
  ☆474Updated 2 months ago
• mitmath / 18335
  18.335 - Introduction to Numerical Methods course
  ☆521Updated this week
• chr1shr / am205_examples
  Harvard Applied Math 205: Code Examples
  ☆86Updated 2 years ago
• mitmath / 18336
  18.336 - Fast Methods for Partial Differential and Integral Equations
  ☆185Updated 11 months ago
• fncbook / FundamentalsNumericalComputation.jl
  Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.
  ☆104Updated 5 months ago
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆103Updated last year
• mitmath / 18330
  18.330 Introduction to Numerical Analysis
  ☆369Updated last year
• RoyiAvital / Julia100Exercises
  A set of introductory exercises for Julia. Based on [100 NumPy Exercises](https://github.com/rougier/numpy-100).
  ☆135Updated 2 years ago
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆151Updated last year
• mitmath / 18303
  18.303 - Linear PDEs course
  ☆142Updated last year
• EricDarve / numerical_linear_algebra
  Julia code for the book Numerical Linear Algebra
  ☆120Updated 2 years ago
• mitmath / 18S096SciML
  18.S096 - Applications of Scientific Machine Learning
  ☆312Updated 3 years ago
• algorithmsbooks / algforopt-notebooks
  Jupyter notebooks associated with the Algorithms for Optimization textbook
  ☆451Updated 3 years ago
• DS-4-DS / DS4DS_Course
  Data Science for Dynamical System Course
  ☆116Updated 6 months ago
• mitmath / 18338
  ☆99Updated last month
• introdeeplearning / book
  Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"
  ☆141Updated last year
• vbartle / VMLS-Companions
  These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
  ☆334Updated 4 years ago
• algorithmsbooks / optimization
  Errata for Algorithms for Optimization book
  ☆70Updated last week
• higham / what-is
  Important concepts in numerical linear algebra and related areas
  ☆748Updated last year
• tobydriscoll / fnc-extras
  Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.
  ☆164Updated this week
• YinTat / optimizationbook
  ☆139Updated this week
• mitmath / JuliaComputation
  Repository for Common Ground C25
  ☆100Updated 4 months ago
• algorithmsbooks / decisionmaking-ancillaries
  Ancillaries for Algorithms for Decision Making
  ☆94Updated last year
• frederic-santos / taoanalysissolutions
  Propositions of solutions to the exercises from Terence Tao's textbooks, Analysis I & II. Mirrored from https://gitlab.com/f-santos/taoan…
  ☆83Updated 2 years ago
• niuers / Linear-Algebra-and-Learning-from-Data
  Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT
  ☆271Updated 2 years ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆201Updated last year
• mitmath / julia-mit
  Tutorials and information on the Julia language for MIT numerical-computation courses.
  ☆762Updated 2 months ago
• nickovchinnikov / Computational-Science-and-Engineering
  18.085 Gilbert Strang Computational Science and Engineering
  ☆48Updated 3 years ago
• desh2608 / numerical-linear-algebra
  Solutions to exercises in Numerical Linear Algebra by Trefethen and Bau.
  ☆98Updated 5 years ago