Search Results for "computer based training"

...This alternating “cluster & train” scheme helps the model gradually discover meaningful structure without labels. DeepCluster was one of the early successes in unsupervised visual feature learning, demonstrating that clustering-based reformulation can rival supervised baselines for many downstream tasks. The repository includes code for feature extraction, clustering, training loops, and evaluation benchmarks like linear probes. Because of its simplicity and modular design, DeepCluster has inspired many later methods.

Open HPI is an open source implementation of the SA Forum's Hardware Platform Interface (HPI). HPI provides an abstracted interface to managing computer hardware, typically for chassis and rack based servers. The new location for the project is https://github.com/open-hpi/openhpi

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.

This project aims to provide a reliable cloud computing system, able to work with cloud computing framework existing today. Developed and maintained by Alecsandru Patrascu, Computer Science, University Politehnica of Bucharest

Rackview is a Perl module that assists in visualizing a Data Center\'s computer rack layouts by creating a web page with HTML tables to show a frontview of the racks. Included are brief commandline and CGI scripts to demonstrate its implementation.

Utilize Java to create an application capable of massivly parallel operations. Application will be targeted as a Napster Clone, with the additional capability of downloading projects which are seeking computer time.