Open Source Server Operating Systems Software Development Software

* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use * Provides high-level syntax and functionality deliberately similar to Matlab * Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code * Useful for algorithm development directly in C++, or quick conversion of research code into production environments * Distributed under the permissive Apache 2.0 license, useful for both open-source and proprietary (closed-source) software * Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc * Downloads: http://coot.sourceforge.io/download.html * Documentation: http://coot.sourceforge.io/docs.html * Bug reports: http://coot.sourceforge.io/faq.html * Git repo: https://gitlab.com/conradsnicta/bandicoot-code

OpenPoplog is a multi-language, incrementally-compiled virtual machine-based development environment with its own extensive teaching and support material, supporting the languages Pop-11, Prolog, Common Lisp and ML on Unix, VMS, Linux and Windows.

This project uses massively parallel Graphics Processing Units(GPU) for neural network(Backpropagation) purposes.

GEP is an evolutionary algorithm for function finding. This framework is a powerful way of expressing and coding genetic-like structures and quickly finding solutions through evolution by common genetic operators.

darknocK detects edges in images. It is using Artificial Neural Networks to enchance the results of standard algorithms.

Amygdala is a C++ spiking neural network library. It includes several neuron models, SMP support and facilities for developing SNNs with genetic algorithms. Support for running Amygdala neural networks on workstation clusters and MPPs is also under way

Blackboard implements a lightweight, portable tuple space suitable for multi-agent system and distributed component design. Supports implicit invocation via content-filtered asynchronous events, blocking call semantics, and shared memory messaging.

MEDDAC is the seeding point for designing a new approach to Operating System design itself. It is an Open Source project with roots in mainframe design and development the author began in 1979. Monitor Editor Disassembler Decompiler Assembler Compiler

Meyshan Wall, This is the ultimate wall paper changer, using Micro soft .Net framework, Meyshan wall would fetch public and private photos from Picasa, Flicker, Riya, and 23 Hq and from your local directory to display as wallpaper as per your settings.

Easy to use neural network library in C++, to build networks with arbitrary (acyclic) topologies, both regular and recurrent (for data structures).

ROUAGE (Robot Utilities Assembly Generic Entities) Provides a coherent set of C++ classes usefull for robotic purposes. Servos, steppers, IR sensors, controllers, voice logic modules ...

Robot Controlling System (RCS) - is a .NET-oriented software group for controlling remote mechanical objects, debuging and programming them by .NET-languages

CAIR is an e-learning project that allow users and subjects management. You can associate pupils and teachers to subjects and works for this subjects. There are special functionalities for those subjects related to Robocup development.

This project comprises two main parts: 1. The classic "Rodney" as described in David L. Heisermann's book "How to build your own self-programming robot", with the original Intel 8085 code. In all likelihood, this is for reference only. I don't expect many people are going to build it 2. An updated version, running on more modern hardware, but remaining true to the algorithms published in his book. The end result will be at least three sets of code, for the Alpha, Beta and Gamma versions of Rodney. We would also like to experiment with a "Delta" version which could use either bare RF or WiFi to exchange state data between machines. A "hive mind" if you like. For the new-generation version, we propose targeting two hardware platforms: 1. Arduino, since it's cheap and easy to use, while remaining close to the bare metal 2. A purpose-built AVR card, or easily ported to cards obtainable from sources such as futurlec.com, etc. RaspberryPi is also an option later