Popular GitHub Repositories for Gnu Octave

AI for GNU Image Manipulation Program

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

GPstuff - Gaussian process models for Bayesian analysis

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.

Translate text by google, bing, youdaozhiyun, haici, stardict, openai, large language model of local machine, etc at same time from CLI, GUI (GNU/Linux, Android, macOS and Windows), REPL, python, shell and vim.

Reimagine simulations: OctCoder, a Text-2-Simulation agentic system

GNU R package for reading and writing neuroimaging file formats. Not limited to FreeSurfer anymore, despite its name.

Applying Octave UNet for Retinal Vessel Segmentation.

?This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

A large model app. Integrating various capabilities. Highly scalable, Highly compatible.

Machine Learning Projects for the Dr. Andrew Ng's course on Coursera

LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms

Rain Voice Note (Speech To Text). CW Frame App. JavaScript.

Gnu/Linux-ai-voice-assistant(GLAVA)

Machine learning coursera by Andrew Ng

A node application of an intelligent payment gateway built by applying the unsupervised Machine Learning Algorithm, Anomaly Detection

Solutions to Coursera Machine Learning course programming assignments

Programming assignments (with Octave and Python) from Coursera's Machine Learning course taught by Andrew Ng.

ALPUD: Active Learning from Positive and Unlabeled Data

Articulatory speech synthesis (unofficial repository for building on Linux+GNU)