# awesome-matlab
A curated list of awesome Matlab frameworks, libraries and software.
* [rasmusbergpalm/DeepLearnToolbox](https://github.com/rasmusbergpalm/DeepLearnToolbox) - Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
* [PRML/PRMLT](https://github.com/PRML/PRMLT) - Matlab code for machine learning algorithms in book PRML
* [matlab2tikz/matlab2tikz](https://github.com/matlab2tikz/matlab2tikz) - This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.
* [pdollar/toolbox](https://github.com/pdollar/toolbox) - Piotr's Image & Video Matlab Toolbox
* [altmany/export_fig](https://github.com/altmany/export_fig) - A MATLAB toolbox for exporting publication quality figures
* [kyamagu/mexopencv](https://github.com/kyamagu/mexopencv) - Collection and a development kit of matlab mex functions for OpenCV library
* [andrewssobral/lrslibrary](https://github.com/andrewssobral/lrslibrary) - Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
* [panditanvita/BTCpredictor](https://github.com/panditanvita/BTCpredictor) - Bitcoin price prediction algorithm using bayesian regression techniques
* [martin-danelljan/ECO](https://github.com/martin-danelljan/ECO) - Matlab implementation of the ECO tracker.
* [bayesnet/bnt](https://github.com/bayesnet/bnt) - Bayes Net Toolbox for Matlab
* [fieldtrip/fieldtrip](https://github.com/fieldtrip/fieldtrip) - The MATLAB toolbox for MEG and EEG analysis
* [piermorel/gramm](https://github.com/piermorel/gramm) - 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.
* [yechengxi/LightNet](https://github.com/yechengxi/LightNet) - Efficient, transparent deep learning in hundreds of lines of code.
* [kyunghyuncho/deepmat](https://github.com/kyunghyuncho/deepmat) - Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
* [posenhuang/deeplearningsourceseparation](https://github.com/posenhuang/deeplearningsourceseparation) - Deep Recurrent Neural Networks for Source Separation
* [plotly/MATLAB-Online](https://github.com/plotly/MATLAB-Online) - MATLAB Online Toolbox - Create interactive charts in your web browser with MATLAB and Plotly
* [scottclowe/matlab-schemer](https://github.com/scottclowe/matlab-schemer) - Apply and save color schemes in MATLAB with ease.
* [alecjacobson/gptoolbox](https://github.com/alecjacobson/gptoolbox) - Matlab toolbox for Geometry Processing.
* [sergeyk/selective_search_ijcv_with_python](https://github.com/sergeyk/selective_search_ijcv_with_python) - Simple Python script to compute Selective Search proposals in Matlab.
* [votchallenge/vot-toolkit](https://github.com/votchallenge/vot-toolkit) - Visual Object Tracking (VOT) challenge evaluation toolkit
* [zhzhanp/TCDCN-face-alignment](https://github.com/zhzhanp/TCDCN-face-alignment) - Matlab implementation of facial landmark detection by deep multi-task learning
* [benfulcher/hctsa](https://github.com/benfulcher/hctsa) - Highly comparative time-series analysis code repository
* [petercorke/robotics-toolbox-matlab](https://github.com/petercorke/robotics-toolbox-matlab) - Robotics Toolbox for MATLAB
* [dch33/Quad-Sim](https://github.com/dch33/Quad-Sim) - A package of documentation and software supporting MATLAB/Simulink based dynamic modeling and simulation of quadcopter vehicles for control system design
* [RANSAC/RANSAC-Toolbox](https://github.com/RANSAC/RANSAC-Toolbox) - A toolbox to experiment with the RANSAC algorithm for Matlab and Octave
* [flatironinstitute/CaImAn-MATLAB](https://github.com/flatironinstitute/CaImAn-MATLAB) - Complete Matlab pipeline for large scale calcium imaging data analysis
* [harishrithish7/Fall-Detection](https://github.com/harishrithish7/Fall-Detection) - Human Fall Detection from CCTV camera feed
* [karpathy/Random-Forest-Matlab](https://github.com/karpathy/Random-Forest-Matlab) - A Random Forest implementation for MATLAB. Supports arbitrary weak learners that you can define.
* [gpeyre/matlab-toolboxes](https://github.com/gpeyre/matlab-toolboxes) - Contains all my Matlab toolboxes.
* [covartech/PRT](https://github.com/covartech/PRT) - Pattern Recognition Toolbox for MATLAB
* [dustinstansbury/medal](https://github.com/dustinstansbury/medal) - Matlab Environment for Deep Architecture Learning
* [ZJULearning/MatlabFunc](https://github.com/ZJULearning/MatlabFunc) - Matlab codes for feature learning
* [yalmip/YALMIP](https://github.com/yalmip/YALMIP) - MATLAB toolbox for optimization modeling
* [faridani/MatlabNLP](https://github.com/faridani/MatlabNLP) - Natural Language Processing tools for MATLAB
* [jimmy-ren/vcnn_double-bladed](https://github.com/jimmy-ren/vcnn_double-bladed) - Vectorized implementation of convolutional neural networks (CNN) in Matlab for both visual recognition and image processing.
* [huashiyiqike/LSTM-MATLAB](https://github.com/huashiyiqike/LSTM-MATLAB) - LSTM-MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is accompanied with a paper for reference: Revisit Long Short-Term Memory: An Optimization Perspective, NIPS deep learning workshop, 2014.
* [fangq/jsonlab](https://github.com/fangq/jsonlab) - JSONlab: a toolbox to encode/decode JSON files in MATLAB/Octave
* [facebook/pose-aligned-deep-networks](https://github.com/facebook/pose-aligned-deep-networks) - Pose Aligned Networks for Deep Attribute Modeling matlab code used for the publication here: http://arxiv.org/abs/1311.5591
* [lmthang/nmt.matlab](https://github.com/lmthang/nmt.matlab) - Code to train state-of-the-art Neural Machine Translation systems.
* [cvxr/CVX](https://github.com/cvxr/CVX) - A MATLAB system for disciplined convex programming
* [ChenJoya/Vehicle_Detection_Recognition](https://github.com/ChenJoya/Vehicle_Detection_Recognition) - This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car_dataset.html
* [cvxr/TFOCS](https://github.com/cvxr/TFOCS) - A MATLAB toolbox for building first-order solvers for convex models.
* [tntrung/sdm_face_alignment](https://github.com/tntrung/sdm_face_alignment) - The Matlab implementation of Supervised Descent Method (SDM) for Face Alignment.
* [mtompkins/openAlgo](https://github.com/mtompkins/openAlgo) - :chart: openAlgo is a public repository for various work product relavant to algorithms and the high frequency low latency electronic trading space with a bias toward market microstructure as well as exchange traded futures and options.
* [banterle/HDR_Toolbox](https://github.com/banterle/HDR_Toolbox) - HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
* [benhager/solarized-matlab](https://github.com/benhager/solarized-matlab) - Solarized for MATLAB
* [utiasSTARS/msckf-swf-comparison](https://github.com/utiasSTARS/msckf-swf-comparison) - MATLAB code and data for our CRV 2015 paper
* [zlpure/Machine-Learning--Coursera](https://github.com/zlpure/Machine-Learning--Coursera) - My Solution of Assignments of Machine-Learning on Coursera
* [singaxiong/SignalGraph](https://github.com/singaxiong/SignalGraph) - Matlab-based deep learning toolkit that supports arbitrary directed acyclic graphs (DAG). Support DNN, LSTM, CNN layers and many signal processing layers. Include recipes/examples of using the tool for various tasks.
* [lacerbi/bads](https://github.com/lacerbi/bads) - Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
* [ricedsp/rwt](https://github.com/ricedsp/rwt) - The Rice Wavelet
