Matlab code for machine learning algorithms in book PRML
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Updated
Mar 4, 2020 - MATLAB
MATLAB is a high-performance language developed by MathWorks for technical computing, visualization, and programming. It is written in C, C++, Java and available for Windows, macOS, and Linux. Generally used by engineers and scientists in industry and academics for data analysis, signal processing, optimization and many other types of scientific computations.
Matlab code for machine learning algorithms in book PRML
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
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Lenia - Mathematical Life Forms
Implements face recognition algorithms for MATLAB/GNU Octave and Python.
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.
A curated list of awesome neuroscience libraries, software and any content related to the domain.
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
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.
solution of exercises of the book "probabilistic robotics"
Apply and save color schemes in MATLAB with ease.
Robotics Toolbox for MATLAB
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.
The MATLAB toolbox for MEG, EEG and iEEG analysis
Armadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net
Visual Object Tracking (VOT) challenge evaluation toolkit
Highly comparative time-series analysis code repository
Deep Recurrent Neural Networks for Source Separation
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)
Code for "Toward Convolutional Blind Denoising of Real Photographs", CVPR 2019
Evolutionary multi-objective optimization platform
Bitcoin price prediction algorithm using bayesian regression techniques
MATLAB sample codes for mobile robot navigation
Curvature Filters are efficient solvers for Variational Models
TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification
Efficient, transparent deep learning in hundreds of lines of code.