MATLAB

Generate code from cURL commands

Matlab code of machine learning algorithms in book PRML

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

Lenia - Mathematical Life Forms

课程视频、PPT和源代码：侯捷C++系列；台大郭彦甫MATLAB

lists of most popular repositories for most favoured programming languages (according to StackOverflow)

【国赛】【美赛】数学建模相关算法 MATLAB实现（2018年初整理）

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CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

Implements face recognition algorithms for MATLAB/GNU Octave and Python.

solution of exercises of the book "probabilistic robotics"

A curated list of awesome neuroscience libraries, software and any content related to the domain.

Apply and save color schemes in MATLAB with ease.

PST or Phase Stretch Transform is an operator that finds features in an image. PST implemented using MATLAB here, takes an intensity image I as its input, and returns a binary image out of the same size as I, with 1's where the function finds sharp transitions in I and 0's elsewhere.

Robotics Toolbox for MATLAB

Evolutionary multi-objective optimization platform

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

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

The MATLAB toolbox for MEG, EEG and iEEG analysis

Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University. NOTE: PRs without signed CONTRIBUTOR AGREEMENT can't be accepted.

Highly comparative time-series analysis

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Capstone and senior design project ideas for undergraduate and graduate students to gain practical experience and insight into technology trends and industry directions.

MATLAB sample codes for mobile robot navigation