This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.

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

CoCalc: Collaborative Calculation in the Cloud

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.

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

Visual Object Tracking (VOT) challenge evaluation toolkit

Application of music theory in audio reactive visualizations

Code a program in a language of your choice.

Gcc for termux with fortran scipy etc... Use apt for newest updates instructions in README.txt

This is a guide to face recognition with Python, GNU Octave/MATLAB and OpenCV2 C++. Eigenfaces and Fisherfaces are explained in detail and implemented.

JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems

This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.

GPstuff - Gaussian process models for Bayesian analysis

A programming language based on MATLAB and suitable for code golfing

A Symbolic Package for Octave using SymPy

3D viewer and post processing of reservoir models

📓 A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc

Matlab support for IntelliJ IDEs

Ordinal Regression and Classification Algorithms

MESH2D is a MATLAB-based Delaunay mesh generator for two-dimensional geometries.

Finite volume toolbox for Matlab/Octave

A docker that runs Octave (and a little bit more)

High level linear algebra library for Dlang

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

Bayesian Data Analysis demos for Matlab/Octave

Geometry Processing Package

The Octave.app distribution

Time difference of arrival (TDoA) multi-lateration

Dynamic Distributed Dimensional Data Model

A simple implementation of the Fuzzy C-Means Clustering (FCM) in MATLAB/GNU-Octave.