There are 27 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
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
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.
Gcc for termux with fortran scipy etc... Use apt for newest updates instructions in README.txt
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.
Visual Object Tracking (VOT) challenge evaluation toolkit
Code a program in a language of your choice.
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
LAMMPS inputs and data files
Render and include figures in Pandoc documents using your plotting toolkit of choice
3D viewer and post processing of reservoir models
MATLAB Independent, Small & Safe, High Integrity Tools - code formatter and more
Fast and reliable implementation of the Gilbert-Johnson-Keerthi (GJK) algorithm for C, C++, C#, Go, Matlab, Octave, Python and Zig
GPstuff - Gaussian process models for Bayesian analysis
A Symbolic Package for Octave using SymPy
Configures the FMCW waveform based on the system requirements. Then defines the range and velocity of a target and simulates its displacement. For the same simulation loop process, the transmit and receive signals are computed to determine the *beat* signal. Then it performs a Range FFT on the received signal to determine the Range Towards the end, perform the CFAR processing on the output of 2nd FFT to display the target.
:notebook: A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc
The Nelson Programming Language
[Python3] Octave-Band and Fractional Octave-Band filter. For signal in time domain.
High level linear algebra library for Dlang
A C++ wrapper of the matio library, with memory ownership handling, to read and write .mat files.
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.