Search Results for "clustering"

Using Machine Vision to Accelerate Bioacoustics Research.

ML-For-Beginners is a structured, project-driven curriculum that teaches foundational machine learning concepts with approachable math and lots of code. Organized as a multi-week course, it mixes short lectures with labs in notebooks so learners practice regression, classification, clustering, and recommendation techniques on real datasets. Each lesson aims to connect the algorithm to a relatable scenario, reinforcing intuition before diving into parameters, metrics, and trade-offs. The repository includes quizzes, solutions, and instructor materials to make the content usable in classrooms or self-study. It emphasizes ethical considerations and model evaluation—accuracy is not the only metric—so students learn to validate and communicate results responsibly. ...

...The guide isn’t meant for production use; rather it’s a learning tool to build foundational understanding before using higher-level platforms. You’ll learn about certificate management, API server flags, etcd clustering, kubelet boot sequence, and how pods route traffic across nodes. Many practitioners use it to prep for Kubernetes certifications or deeply understand Kubernetes internals.

...It provides a collection of notebooks that walk attendees from basic machine-learning concepts into practical modeling using the scikit-learn library. The tutorial covers data preparation, model fitting, evaluation, and common algorithms such as classification, regression, clustering, and dimensionality reduction. It is designed for people who already have a working Python environment and some familiarity with NumPy, SciPy, and Matplotlib. The repository specifies a clear list of dependencies so that participants can reproduce the environment used in the tutorial, and many downstream forks keep the content updated for newer versions of scikit-learn. ...

DRBL provides diskless or systemless environment. It uses distributed hardware resources and makes it possible for clients to fully access local hardware. It also includes Clonezilla, a partition and disk cloning utility similar to Ghost.

Manhali is a free, open source Learning Management System (LMS). It is installable and multi-language. Licensed under the GNU-GPL 3 and written in PHP and MySQL. Manhali can track and evaluate learners' behavior by clustering all learners in profiles (A, B, C, D and E) according to their behavior on the platform to allow educators to personalize courses for each profile.

The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.

Gmandel is a fractal image generator for SMP and computer clusters. The graphic frontend is GTK-2 based, although GTK-1.2 is also available. It is intended to explore unknown details of fractals and to provide benchmarks for computer clusters.

Open source animation of kmeans clustering in X Window System using the C++ libplotter library. Supports Linux, Mac, and BSD. Includes common initialization methods such as Forgy, Macqueen, random, and angular. Sample videos are available through the Files Tab above. The SVN repo is accessible thorugh the Code Tab above. Requires a C++ compiler, libplot-dev, and libncurses5-dev Mac alternative to libplot-dev: macports plotutils +x11

GGI stands for "General Graphics Interface", and it is a project that aims to develop a reliable, stable and fast graphics system that works everywhere. We want to allow any program using GGI to run on any platform requiring at most a recompile.

TML has moved to http://www.villalon.cl/tml.html and the code to https://github.com/villalon/tml

DASS-GUI is a graphical user interface for pattern search in non-sequential data.

MLN (Manage Large Networks) is a perl program used to manage a set of User-Mode-Linux instances or Xen instances. From a configuration file, it is possible to specify a large complex network of e.g. Xen instances, which are each configured as specified.

Facilitates data mining/natural language processing experiments to be executed on weblogs, such as classification, clustering and rating. As part of these experiments, it is possible to apply Latent Semantic Analysis.

VL-1 is High Performance Computing Middleware designed for the domain experts/researchers/Teachers who want to focus more on their problem then finding out ways of how to implement their problem.

OpenMosix Sim is a simulation of the algorithm used for process distribution in OpenMosix kernel. The algorithm is simplified.

This is educational software whose purpose it is to clarify the workings of different clustering algorithms by visualising the clustering process in 2D space. This make many possible problems and advantages very clear.

Atomatrix is a multithreaded execution system of atomic matrices with a dynamic compiler and a network eviron. It is the next generation object-orientated environment. XML, MUD-OO CLI, GnucDNA support, windows and many subprojects are built-in.

Generic clustering/load-balancing platform (over a LAN or internet) using java based P2P Aorta workers that execute java "tasklets". Various tasklets can be implemented to solve fractals, process images, render webpages, crack RSA "brute force".

Web Textual eXtraction Tools C++ Parallel web crawler, noun phrase idenification, Multi-lingual Part of Speech Tagging, Tarjan's Algorithm, Co-RelationShip Mappings...

java-based complete Agent (Artificial Intelligence) Framework with all the features you might expect in an Agent Framework: Mobility, Autonomy, Distributed communication, Agents can be written in Java, Jython, or Beanshell.

Pattern recognition software package. It includes several classification and clustering algorithms. It can read data from a set of images, an ASCII file or a JDBC connection. A small TCP data server with its corresponding JDBC driver is included.

Phantom Cluster toolkit provide seamlessly integrate all PCs in a computer lab. It can consolidate an exist PC farm and save time and money, like reduce power consumption.

The Portable Highly Available Sensors (PHASE) project aims at creating an example application that demonstrates the usage of Application Interface Specification service interfaces of the Service Availability Forum.