701. FidvcFast Iterative Digital Volume Correlation Algorithm
706. Pr GlsNon-Rigid Point Set Registration by Preserving Global and Local Structures
708. Tinycsminimal MATLAB-based compressed sensing MRI toolkit
709. Compressed SensingA couple of simple compressed sensing examples, based on examples from the notes of the excellent Computational Methods for Data Analysis course on Coursera taught by Nathan Kutz.
710. MturkmatlabMATLAB toolbox for communicating with Amazon's Mechanical Turk (AMT) API.
711. Pdtoolbox matlabMatlab implementation of some evolutionary dynamics from game theory, such as: replicator dynamics, smith dynamics, logit dynamics, and Brown-von Neumann-Nash.
712. Exemplar CnnDiscriminative Unsupervised Feature Learning with Convolutional Neural Networks
713. Pedestrian DetectionEvaluation of state-of-the-art object detection algorithms for the task of pedestrian detection. The algorithms include; Faster-RCNN, RPN+BF, YOLO, and SSD.
715. Matlabfragmatlabfrag is a function which exports a Matlab figure to .eps and .tex files for use in LaTeX/pdfLaTeX/LyX.
716. BasinvisA Matlab application for stratigraphic and subsidence modelling of sedimentary basins based on well data.
719. FunpsyFUNctional magnetic resonance imaging Phase SYnchronization
725. SvmImproved Support Vector Machine in MATLAB. Some other functions included as well
729. Cnnimplementation of convolutional neural networks in matlab
731. Perona MalikMATLAB implementation and comparison of Perona-Malik and Heat Equation for image processing.
734. Image Feature Detection Using Phase Stretch TransformPST 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.
737. Octavemy octave exercises for 2011 stanford machine learning class, posted after the due date of course
743. CasadiCasADi 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.
747. Machine Learning Octave🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
748. LrslibraryLow-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
749. VadVoice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.