Alternatives and similar repositories for cs6210-f16

Users that are interested in cs6210-f16 are comparing it to the libraries listed below

• mitmath / 18303
  18.303 - Linear PDEs course
  ☆144Updated last year
• cvxgrp / aa
  Anderson Acceleration
  ☆20Updated 3 years ago
• mitmath / 18336
  18.336 - Fast Methods for Partial Differential and Integral Equations
  ☆184Updated last year
• mitmath / 18338
  ☆102Updated last week
• PythonOptimizers / pykrylov
  A library of Krylov methods in pure Python
  ☆63Updated 2 years ago
• uclaopt / TMAC
  TMAC: A Toolbox of Modern Async-Parallel, Coordinate, Splitting, and Stochastic Methods
  ☆48Updated 8 years ago
• dbindel / cs6210-f19
  Course material for Cornell CS 6210 for Fall 2019
  ☆25Updated 5 years ago
• mlazaric / Chebyshev
  A simple python module for approximating any sympy expression using the Taylor series and Chebyshev polynomials.
  ☆25Updated 3 years ago
• MikeInnes / zygote-paper
  ☆70Updated 5 years ago
• gpeyre / 2017-ot-beginners
  Optimal Transport for Dummies - Code, slides and article
  ☆33Updated 8 years ago
• cliburn / sta-663-2017
  Notebooks, worksheets and homework for STA 663 class
  ☆43Updated 8 years ago
• chr1shr / am205_examples
  Harvard Applied Math 205: Code Examples
  ☆90Updated 3 years ago
• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆87Updated last year
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆98Updated 3 years ago
• ketch / numerical_linear_algebra_notebooks
  IPython notebooks with supplementary material to accompany the textbook by Trefethen & Bau.
  ☆30Updated 6 years ago
• timudk / SPDENN
  A Discussion on Solving Partial Differential Equations using Neural Networks
  ☆66Updated 6 years ago
• EricDarve / numerical_linear_algebra
  Julia code for the book Numerical Linear Algebra
  ☆127Updated 2 years ago
• dlfivefifty / M3M6MethodsOfMathematicalPhysics
  Lecture notes for M3M6 Methods of Mathematical Physics
  ☆43Updated 5 years ago
• bob-carpenter / ad-handbook
  Automatic Differentiation Handbook
  ☆149Updated 4 years ago
• ganguli-lab / proxalgs
  Proximal algorithms and operators in python
  ☆26Updated 6 years ago
• sergeyvoronin / LowRankMatrixDecompositionCodes
  RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…
  ☆93Updated 2 years ago
• pychebfun / pychebfun
  Python implementation of chebfun
  ☆100Updated 4 months ago
• higham / expmv
  MATLAB codes for matrix exponential times a vector.
  ☆32Updated 5 years ago
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆25Updated 7 years ago
• amkatrutsa / DeepPDE
  Deep Learning application to the partial differential equations
  ☆30Updated 7 years ago
• sigma-py / orthopy
  Orthogonal polynomials in all shapes and sizes.
  ☆187Updated last year
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 5 years ago
• tobydriscoll / fnc-extras
  Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.
  ☆169Updated last month
• icme / cme257-advanced-julia
  Advanced Topics in Scientific Computing with Julia
  ☆91Updated 5 years ago
• ernestyalumni / mathphysics
  Various notes and solutions on Math and Physics (and Mathematical Physics)
  ☆76Updated last year