There are 26 repositories under octave topic.
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.
This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.
CoCalc: Collaborative Calculation in the Cloud
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Gcc for termux with fortran scipy etc... Use apt for newest updates instructions in README.txt
The Marine Systems Simulator (MSS) is software that supplements the textbook "Handbook of Marine Craft Hydrodynamics and Motion Control," 2nd Edition, by T. I. Fossen, published in 2021 by John Wiley & Sons Ltd.
Visual Object Tracking (VOT) challenge evaluation toolkit
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.
Code a program in a language of your choice.
Render and include figures in Pandoc documents using your plotting toolkit of choice
LAMMPS inputs and data files
GPstuff - Gaussian process models for Bayesian analysis
3D viewer and post processing of reservoir models
A Symbolic Package for Octave using SymPy
MATLAB Independent, Small & Safe, High Integrity Tools - code formatter and more
The Nelson Programming Language
[Python3] Octave-Band and Fractional Octave-Band filter. For signal in time domain.
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
A docker that runs Octave (and a little bit more)