Alternatives and similar repositories for am205_g_activities:

Users that are interested in am205_g_activities are comparing it to the libraries listed below

• chr1shr / am205_examples
  Harvard Applied Math 205: Code Examples
  ☆82Updated 2 years ago
• dbindel / cs6210-f19
  Course material for Cornell CS 6210 for Fall 2019
  ☆25Updated 5 years ago
• stephenbeckr / convex-optimization-class
  APPM 5630 at CU Boulder
  ☆45Updated last week
• lindonroberts / trust-region
  Python trust-region subproblem solvers for nonlinear optimization
  ☆27Updated 6 months ago
• yoninazarathy / MATH7501-2021
  Extra materials for Mathematics for Data Science 1: https://courses.smp.uq.edu.au/MATH7501/2021/
  ☆17Updated 3 years ago
• Imperial-MATH50003 / MATH50003NumericalAnalysis2021-22
  Notes and course material for MATH50003 Numerical Analysis (2021–2022)
  ☆50Updated 11 months ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆28Updated 2 years ago
• brekmeuris / DrMZ.jl
  Deep renormalized Mori-Zwanzig (DrMZ) Julia package.
  ☆14Updated last year
• gpeyre / 2017-ot-beginners
  Optimal Transport for Dummies - Code, slides and article
  ☆32Updated 7 years ago
• SciML / SciMLTutorialsOutput
  Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
  ☆20Updated last year
• inducer / numpde-notes
  Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs
  ☆19Updated 10 months ago
• akaptano / POD-Galerkin_MHD
  This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…
  ☆18Updated 3 years ago
• juliusberner / oberwolfach_workshop
  Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
  ☆17Updated last year
• yifanc96 / NonLinPDEs-GPsolver
  Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
  ☆36Updated 3 months ago
• champsproject / lagrangian_descriptors
  Repo to host book about Lagrangian Descriptors technique
  ☆15Updated last year
• martinResearch / MatlabAutoDiff
  A matlab implementation of forward automatic differentiation with operator overloading and sparse jacobians
  ☆42Updated this week
• weymouth / NumericalPython
  A set of Python notebooks to introduce the fundamentals of numerical programming using extensive examples from engineering.
  ☆32Updated 4 years ago
• EricDarve / numerical_linear_algebra
  Julia code for the book Numerical Linear Algebra
  ☆117Updated 2 years ago
• SebastianCallh / neural-ode-weather-forecast
  How to train a neural ODE for time series/weather forecasting
  ☆38Updated 2 years ago
• springer-math / Numerical-Methods-for-Stochastic-Partial-Differential-Equations-with-White-Noise
  Matlab codes accompanying Numerical Methods for Stochastic Partial Differential Equations with White Noise
  ☆26Updated 7 years ago
• Ceyron / scientific-python-course
  Slides + Source Code + Data for an introductory course to NumPy, Matplotlib, SciPy, Scikit-Learn & TensorFlow Keras
  ☆22Updated 2 years ago
• RajDandekar / MSML21_BayesianNODE
  ☆36Updated 3 years ago
• csc-training / julia-introduction
  Two-day introduction course to Julia programming language
  ☆18Updated last year
• dlfivefifty / M3M6MethodsOfMathematicalPhysics
  Lecture notes for M3M6 Methods of Mathematical Physics
  ☆40Updated 4 years ago
• zhbai / cDMDc
  Compressive dynamic mode decomposition with control for compressive system identification
  ☆38Updated 7 years ago
• MIT-Lu-Lab / MPAX
  Mathematical Programming in JAX
  ☆58Updated last week
• remcovandermeer / Optimally-Weighted-PINNs
  ☆41Updated 4 years ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆25Updated 2 years ago
• Astroinformatics / ScientificMachineLearning
  ☆36Updated last year