octave
There are 1185 repositories under octave topic.
casadi/casadi
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.
matlab2tikz/matlab2tikz
This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.
sagemathinc/cocalc
CoCalc: Collaborative Calculation in the Cloud
bytefish/facerec
Implements face recognition algorithms for MATLAB/GNU Octave and Python.
trekhleb/machine-learning-octave
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
sccn/eeglab
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
cybergalactic/MSS
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.
its-pointless/gcc_termux
Gcc for termux with fortran scipy etc... Use apt for newest updates instructions in README.txt
TheAlgorithms/MATLAB-Octave
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.
votchallenge/toolkit-legacy
Visual Object Tracking (VOT) challenge evaluation toolkit
wizgrav/clubber
Application of music theory in audio reactive visualizations
hacktoberfest17/programming
Code a program in a language of your choice.
jlizier/jidt
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
simongravelle/lammps-input-files
LAMMPS inputs and data files
LaurentRDC/pandoc-plot
Render and include figures in Pandoc documents using your plotting toolkit of choice
csmailis/NPYViewer
Load and view .npy files containing 2D and 1D NumPy arrays.
OPM/ResInsight
3D viewer and post processing of reservoir models
florianschanda/miss_hit
MATLAB Independent, Small & Safe, High Integrity Tools - code formatter and more
MattiaMontanari/openGJK
Fast and reliable implementation of the Gilbert-Johnson-Keerthi (GJK) algorithm for C, C++, C#, Go, Matlab, Octave, Python and Zig
gpstuff-dev/gpstuff
GPstuff - Gaussian process models for Bayesian analysis
octave-app/octave-app
The Octave.app distribution
gnu-octave/symbolic
A Symbolic Package for Octave using SymPy
dengwirda/mesh2d
MESH2D is a MATLAB-based Delaunay mesh generator for two-dimensional geometries.
sofacoustics/SOFAtoolbox
SOFA Toolbox (API for Matlab, Octave)
davidscmx/radar-target-generation-and-detection
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.
Naereen/notebooks
:notebook: A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc
kornilova203/matlab-IntelliJ-plugin
Matlab support for JetBrains IDEs
ayrna/orca
Ordinal Regression and Classification Algorithms
lmendo/MATL
A programming language based on MATLAB and suitable for code golfing
nelson-lang/nelson
The Nelson Programming Language
simulkade/FVTool
Finite volume toolbox for Matlab/Octave
villekf/OMEGA
Open-source multi-dimensional tomographic reconstruction software (OMEGA)
jmrplens/PyOctaveBand
[Python3] Octave-Band and Fractional Octave-Band filter. For signal in time domain.
kaleidicassociates/lubeck
High level linear algebra library for Dlang
ami-iit/matio-cpp
A C++ wrapper of the matio library, with memory ownership handling, to read and write .mat files.
liquidSVM/liquidSVM
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.