Alternatives and similar repositories for ALAFF

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

• mitmath / 18335
  18.335 - Introduction to Numerical Methods course
  ☆563Updated this week
• chr1shr / am205_examples
  Harvard Applied Math 205: Code Examples
  ☆93Updated 3 years ago
• mitmath / 18338
  ☆104Updated last week
• mitmath / 18336
  18.336 - Fast Methods for Partial Differential and Integral Equations
  ☆186Updated last year
• EricDarve / numerical_linear_algebra
  Julia code for the book Numerical Linear Algebra
  ☆125Updated 2 years ago
• mitmath / 18303
  18.303 - Linear PDEs course
  ☆146Updated last year
• mitmath / matrixcalc
  MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
  ☆548Updated 9 months ago
• mitmath / 18S096SciML
  18.S096 - Applications of Scientific Machine Learning
  ☆311Updated 3 years ago
• mitmath / 18337
  18.337 - Parallel Computing and Scientific Machine Learning
  ☆244Updated 2 years ago
• mitmath / 18330
  18.330 Introduction to Numerical Analysis
  ☆381Updated last year
• algorithmsbooks / algforopt-notebooks
  Jupyter notebooks associated with the Algorithms for Optimization textbook
  ☆480Updated 3 years ago
• sisl / OptimizationCourse
  ☆76Updated 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.
  ☆343Updated 5 years ago
• mitmath / 18065
  18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
  ☆178Updated last year
• RMT-TheoryAndPractice / RMT
  ☆125Updated 7 years ago
• eth-cscs / PythonHPC
  PythonHPC
  ☆115Updated 2 years ago
• avstjohn / qft
  Lecture notes transcribed from course (Youtube videos) given by by Dr. Tobias Osborne.
  ☆117Updated 4 years ago
• mitmath / julia-mit
  Tutorials and information on the Julia language for MIT numerical-computation courses.
  ☆794Updated 9 months ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆222Updated last year
• cme212 / course
  CME212 Course Information
  ☆54Updated 2 years ago
• mandli / intro-numerical-methods
  Jupyter notebooks and other materials developed for the Columbia course APMA 4300
  ☆292Updated 3 years ago
• ULAFF / LAFF-On-PfHP
  Repository for "LAFF-On Programming for High Performance"
  ☆43Updated last year
• sreahw / schuller-geometric
  Source code for lecture notes
  ☆155Updated last year
• qzhu2017 / Numerical-Optimization
  This is a course material for numerical optimization to be taught in summer 2020
  ☆41Updated 5 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
  ☆130Updated last year
• llSourcell / Neural_Differential_Equations
  This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
  ☆248Updated 6 years ago
• clawpack / riemann_book
  An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.
  ☆282Updated 7 months ago
• springer-math / dynamical-systems-with-applications-using-python
  Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch
  ☆156Updated 7 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 3 years ago
• divakarvi / bk-spca
  A variety of programming models relevant to scientists explained, with an emphasis on how programming constructs map to parts of the com…
  ☆63Updated 7 years ago