Search Results for "testbed"
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Showing 66 open source projects for "testbed"
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Moss
Rust Linux-compatible kernel
...The kernel uses Rust as its primary implementation language, which gives it strong memory safety guarantees and helps reduce common classes of bugs like data races and buffer overflows without sacrificing performance. It aims to serve as both a learning tool for systems programming students and a testbed for advanced research in kernel architecture, enabling experimentation with new ideas in process isolation, resource management, and driver models. -
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Astrape
Optical-packet node transceiver frequency allocation
In an optical network scenario which consists of multiple nodes (whiteboxes) at its edges and ROADMs in-between, the coherent transceiver average laser configuration time is improved. The process is evaluated according to a testbed setup. This is facilitated in the appropriate lab equipment (or via simulation when required). For that purpose, a software agent (Netconf server) residing at the whiteboxes, is developed receiving input from the Software-Defined Networking (SDN) packet controller (PacketCTL - a Netconf client). Then, configuration of the local transceiver laser frequencies of the controlled pluggable devices takes place, for facilitating the connectivity in-between the ROADM network. ... -
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QFT fork-yzhs
testbed for QFT and such
This is a fork of Colin Benner's Frobenius benchmarking. https://github.com/yzhs/frobenius-test Quadratic Frobenius primality Test (QFT) as devised by Grantham has two relatively expensive first steps. In other projects, techniques were examined that may reduce that expense and are tested here. -
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to develop your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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ART_QuidProQuo
Promoting Cooperation of Agents in Trust Models
The corresponding code of the implementation of an Agent Reputation Testbed modified reputation protocol to be executed in JADE platform -
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Awesome Explainable Graph Reasoning
A collection of research papers and software related to explainability
...In the area of graph data, graph neural networks (GNNs) and their explainability are experiencing rapid developments. However, there is neither a unified treatment of GNN explainability methods, nor a standard benchmark and testbed for evaluations. In this survey, we provide a unified and taxonomic view of current GNN explainability methods. -
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remoteGUI
µSDX & CWdaemon GUI
...Easy setup of: - cw macro [ labels / messages ] - cw WPM speed, accessible also via GUI, with a 10 / 40 WPM speed range - network settings. Moreover it's capable of control an HF rig ( via Hamlib network control ); in my testbed I'm using an uSDX transceiver, 5W, all mode, full SDR. Relying on Hamlib ecosystem it's easy to setup any transceiver you has :-) -
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DeepMind Lab
A customizable 3D platform for agent-based AI research
DeepMind Lab is a 3D learning environment based on id Software's Quake III Arena via ioquake3 and other open source software. DeepMind Lab provides a suite of challenging 3D navigation and puzzle-solving tasks for learning agents. Its primary purpose is to act as a testbed for research in artificial intelligence, especially deep reinforcement learning. If you use DeepMind Lab in your research and would like to cite the DeepMind Lab environment, we suggest you cite the DeepMind Lab paper. To enable compiler optimizations, pass the flag --compilation_mode=opt, or -c opt for short, to each bazel build, bazel test and bazel run command. ... -
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ART JADE
ART Ontology and Protocols in JADE
Ontology and Protocols of Agent Reputation and Trust testbed using JADE platform. -
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wxImage is a testbed application for the wxWidgets bitmap image class of this name. The application is a doc/view/mdi GUI app, capable of doing [very few] operations on the image and do bitmap file format conversions.
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SMAC
SMAC: The StarCraft Multi-Agent Challenge
...It allows researchers to test algorithms where multiple units (agents) must collaborate to win battles against built-in game AI opponents. SMAC provides a controlled testbed for studying decentralized execution and centralized training paradigms in MARL. -
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TEACUP
TCP Experiment Automation Controlled Using Python
TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. -
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Edward
A probabilistic programming language in TensorFlow
A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. ... -
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Matlab/Octave Rotations Library
Library for working with 3D rotations in Matlab/Octave
The Matlab/Octave rotations library is a collection of functions, bundled as m-scripts, that address computations and numerical handling of rotations in 3D Euclidean space. The rotation representations that are supported are rotation matrices (Rotmat), Quaternions (Quat), intrinsic ZYX Euler angles (Euler), fused angles (Fused) and tilt angles (Tilt). Operations such as composition, inversion, ZYX yaw extraction, fused yaw extraction, random generation, equality detection, vector rotation... -
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SCADA-SST
SCADA Security Testbed
A simulation environment intended to study and analyze SCADA systems security. -
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four_multi
A software framework for USRP implementations of advanced schemes
Four-multi is a software framework targeted towards testbed implementations of wireless systems involving multiple antennas (per node), multiple-nodes (in the system and/or per cells), multiple-band (e.g several spectrum segments), and multiple cells. Four-multi runs on a special configuration of USRPs (see "requirements" below) -
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ScorePlus: Smart Grid Experiment
Integrated Open Scalable Experiment Environment for Smart Microgrid
...Both the software emulator and hardware testbed follow the same architecture and interface, and the same Smart Grid application program can be tested on either of them without any modification. -
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Perl System Test
(PEST)
...The harness depends on a standard testbed descriptor to facilitate portability across testbeds. Read more on the project Wiki: https://sourceforge.net/p/perlsystemtest/wiki/Home/ -
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ScorePlus is a cyber physical testbed for smart grid that addresses the intelligent control, communication, and interactions about the complex smart grid cyber physical system. By introducing virtual time to the emulation platform and implementing a global synchronization module, scoreplus is able to advance the system clock as fast as possible, while preserving the synchronization between an event driven based power simulator (GridLAB-D) and a real time based network emulator (CORE).
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Thatcher Ulrich's game engine testbed. A motley collection of experimental and not-so-experimental game- and graphics-oriented code. Public domain!
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bnns
Research tool for interactive training of artificial neural networks.
BNNS is a research tool for interactive training of artificial neural networks based on the Response Function Plots visualization method. It enables users to simulate, visualize and interact in the learning process of a Multi-Layer Perceptron on tasks which have a 2D character. Tasks like the famous two-spirals task or classification of satellite image data. -
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This project is designed to ultimately be a massively multiplayer game that gives us a testbed for analyzing how such games would work for the blind and visually impaired. It was renamed to The Trials of Tiresias in 2013.
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Fish4Knowledge Project
Analysis of undersea fish videos
...A combination of computer vision, database storage, workflow and human computer interaction methods were used to achieve this. The project used live video feeds from 10 underwater cameras as a testbed for investigating more generally applicable methods for capture, storage, analysis and querying of multiple video streams. We collated a public database from 3 years containing video summaries of the observed fish and associated descriptors. Expert web-based interfaces were developed for use by marine researchers, allowing unprecedented access to live and previously stored videos, or previously extracted information. -
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DDMTestbed
An independent Data Distribution Management testbed
DDMTestbed is a testbed that allows you to generate random instances and evaluate your proposed resolutive method measuring execution time, memory occupied and distance from the optimal solution. It has been written in C language. -
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