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gb16

grabcut

A MATLAB Implementation of GrabCut (Excluding Border Matting and User Editing)

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hawq

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

herkosidae

Half-explicit Runge-Kutta method for overdetermined semi-implicit Differential-Algebraic Equations

hmat

Hierarchical Matrix in Julia and Matlab

hmatrix

Hierarchical matrices in matlab.

hwloc

Hardware locality (hwloc)

ib2d

An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 60 built-in examples, including multiple options for fiber-structure models and advection-diffusion, Boussinesq approximations, and/or artificial forcing.

ir3

MATLAB code for iterative refinement in 3 precisions

isopod

isopod, a MOOSE based app for multiphysics PDE constrained optimization

kmbox

Kernel Methods Toolbox for Matlab/Octave

koopman

Koopman Mode Decomposition

krylov_subspace_methods

Naïve implementations of some Krylov subspace methods without preconditioning

kuramoto-sivashinsky

A simulation of the Kuramoto-Sivashinsky Equation in Python and MATLAB

libmesh

libMesh github repository

libxsmm

Library for small matrix-matrix multiplications targeting Intel Architecture (x86).

lightnet

Efficient, transparent deep learning in hundreds of lines of code.

lowrankmatrixdecompositioncodes

RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using randomized sampling. Includes codes for single core (using GNU GSL), multi-core (using Intel MKL) and GPU (using NVIDIA CUDA/CULA) architectures.

machine-learning-models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

machine-learning-octave

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

matlab

matlab-deep-learning

Source code for 'MATLAB Deep Learning' by Phil Kim

matlab-neural-networks

MATLAB Feed Forward Neural Networks with Back Propagation

matlab-toolbox-for-dimensionality-reduction

Matlab Toolbox for Dimensionality Reduction

matlab-toolboxes

Contains all my Matlab toolboxes.

meshpart

Mesh Partitioning Toolbox

metismex

Mex files for METIS

minted

minted is a LaTeX package that provides syntax highlighting using the Pygments library. Highlighted source code can be customized using fancyvrb.

ml_ang

Solutions to problems in Machine Learning by Andrew Ng, Coursera