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Name: Oana Marin
Type: User
Bio: Numerical analyst, Applied mathematician
Location: Chicago
Name: Oana Marin
Type: User
Bio: Numerical analyst, Applied mathematician
Location: Chicago
A MATLAB Implementation of GrabCut (Excluding Border Matting and User Editing)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
Half-explicit Runge-Kutta method for overdetermined semi-implicit Differential-Algebraic Equations
Hierarchical Matrix in Julia and Matlab
Hierarchical matrices in matlab.
Hardware locality (hwloc)
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.
MATLAB code for iterative refinement in 3 precisions
isopod, a MOOSE based app for multiphysics PDE constrained optimization
Kernel Methods Toolbox for Matlab/Octave
Koopman Mode Decomposition
NaΓ―ve implementations of some Krylov subspace methods without preconditioning
A simulation of the Kuramoto-Sivashinsky Equation in Python and MATLAB
libMesh github repository
Library for small matrix-matrix multiplications targeting Intel Architecture (x86).
Efficient, transparent deep learning in hundreds of lines of code.
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.
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
π€ MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Source code for 'MATLAB Deep Learning' by Phil Kim
MATLAB Feed Forward Neural Networks with Back Propagation
Matlab Toolbox for Dimensionality Reduction
Contains all my Matlab toolboxes.
Mesh Partitioning Toolbox
Mex files for METIS
minted is a LaTeX package that provides syntax highlighting using the Pygments library. Highlighted source code can be customized using fancyvrb.
Solutions to problems in Machine Learning by Andrew Ng, Coursera
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.