Search Results for "model driven"
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Showing 29 open source projects for "model driven"
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OrcaSlicer
G-code generator for 3D printers
OrcaSlicer is an open-source slicing application for FFF and FDM 3D printers, built as a community-driven evolution of Bambu Studio. It focuses on precision, calibration, speed, and broader printer compatibility for users who want more control over their prints. The software includes tools for slicing models, generating supports, tuning print parameters, and preparing high-quality G-code. It is popular among users who want advanced calibration workflows and flexible settings beyond basic... -
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BioNeMo
BioNeMo Framework: For building and adapting AI models
BioNeMo is an AI-powered framework developed by NVIDIA for protein and molecular generation using deep learning models. It provides researchers and developers with tools to design, analyze, and optimize biological molecules, aiding in drug discovery and synthetic biology applications. -
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FreeCAD
a parametric 3D CAD modeler
This is an official mirror of FreeCAD. Code and release files are primarily hosted on https://github.com/FreeCAD/FreeCAD and mirrored here. FreeCAD is a general purpose feature-based, parametric 3D modeler for CAD, MCAD, CAx, CAE and PLM, aimed directly at mechanical engineering and product design but also fits a wider range of uses in engineering, such as architecture or other engineering specialties. It is 100% Open Source and extremely modular, allowing for very advanced extension and... -
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DAE Tools Project
Object-oriented equation-based modelling and optimisation software
...It is not a modelling language nor a collection of numerical libraries but rather a higher level structure – an architectural design of interdependent software components providing an API for: - Model development/specification - Activities on developed models, such as simulation, optimisation, sensitivity analysis and parameter estimation - Processing of the results, such as plotting and exporting to various file formats - Report generation - Code generation, co-simulation and model exchange The following class of problems can be solved by DAE Tools: - Initial value problems of implicit form - Index-1 DAE systems - With lumped or distributed parameters - Steady-state or dynamic - Continuous with some elements of event-driven systems -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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SWASH is a general-purpose numerical tool for simulating unsteady, non-hydrostatic, free-surface, rotational flow and transport phenomena in coastal waters as driven by waves, tides, buoyancy and wind forces. It provides a general basis for describing wave transformations from deep water to a beach, port or harbour, complex changes to rapidly varied flows, and density driven flows in coastal seas, estuaries, lakes and rivers.
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LabRPS
Random phenomena generator
This is an official mirror of LabRPS. Code and release files are primarily hosted on https://github.com/LabRPS/LabRPS and mirrored here LabRPS aims to be a tool for the numerical simulation of random phenomena such as stochastic wind velocity, seismic ground motion, sea surface ... etc. It can be in a wide range of uses around engineering, such as random vibration or vibration fatigue in mechanical engineering, buffeting analysis in bridge engineering.... LabRPS is mainly to assist... -
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IEC 60870-5 104 Protocol download
IEC 104 RTU Server Client Simulator Source Code Library Win Linux
v21.06.018 Complete implementation of iec 104 protocol standard including File transfer. Make your RTU, protocol converter, Gateway, HMI, Data concentrator compatible with iec 104. *Industry Proved * Worldwide Customers Download Evaluation Kit - IEC 104 Development Bundle In the Development Bundle, We included IEC 104 Server & Client Simulator, Windows & Linux... -
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DNP3 Protocol Code Win Linux download
DNP3 Protocol Source code Library Outstation and client Win Linux
v21.06.018 Complete implementation of DNP3 protocol standard including File transfer. Binary Input, Double-bit Binary Input, Binary Output, Counter Input, Analog Input, Analog output, Octect String, virtual terminal String. support CROB, analog output command with "select-before-operate" or "direct-execute" command execution modes Industry proven, tested with all leading test tools Get a free DNP3 (IEEE 1815) Development Bundle In the Development Bundle, We included DNP3... -
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IEC60870-5 101 tools code library
IEC 101 Server and Client Simulator Source code Library, Win, Linux
v21,06.018 IEC101 RTU Server Simulator, IEC101 Client Master Simulator, Static and Dynamic Libraries, Source Code Library. Driver for Windows, POSIX Linux, ARM , PowerPC, QNX & more * Make your RTU, protocol converter, Gateway, HMI, Data concentrator compatible with iec 101. * Download Free Evaluation Kit - IEC 60870-5-101 Development Bundle. * In the Bundle included IEC 101 Server & Client Simulator, Windows and Linux SDK, C# projects, Doxygen , Raspberry Pi, ... -
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DNP3 Protocol Win Linux test tool code
DNP3 Outstation and client simulator, Source code Library, win, Linux
DNP3 Protocol - v21.06.018 Complete implementation of DNP3 protocol standard including File transfer. Binary Input, Double-bit Binary Input, Binary Output, Counter Input, Analog Input, Analog output, Octect String, virtual terminal String. support CROB, analog output command with "select-before-operate" or "direct-execute" command execution modes Industry proven, tested with all leading test tools. DNP3 Protocol RTU Outstation Server Simulator, Client Master Simulator,... -
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DNP3 Protocol Linux Arm POSIX code
DNP3 Protocol Source code Library for Linux x86 x64 ARM PowerPC
v21.06.018 DNP3 Protocol Linux SDK Supports Embedded Linux (ARM, Coldfire, Power PC), Ubuntu Linux(X86, X86-64), Fedora, CentOS, Red Hat and POSIX Complaint OS The source code will allow you to quickly compile your own examples with the features of your existing development environment to work with our DNP3 library. DNP3 Linux SDK contains Shared Library(.a) (precompiled library), Static link lib, Demo Server & Client programs, CodeBlock Demo console project files, Doxygen .... -
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DNP3 Windows c c++ c# .net
DNP3 Source code Library for Windows and simulator
v21.06.018 Complete implementation of DNP3 protocol standard including File transfer. Binary Input, Double-bit Binary Input, Binary Output, Counter Input, Analog Input, Analog output, Octect String, virtual terminal String. support CROB, analog output command with "select-before-operate" or "direct-execute" command execution modes, unsolicited response, Time Synchronization support C C++, C# ( .net ) programming languages Get a free DNP3 Development Bundle In the Development... -
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IEC 60870-5 101 Protocol Win C#
IEC 60870-5-101 Source code Library Stack - Windows c, c++, c# .net
v21,06.018 The complete implementation of IEC 101 protocol stack including File Transfer-Monitor, Balanced and Unbalanced mode, Directory Commands, Supports all type of Monitoring, command, parameter ASDUs. IEC 101 Windows SDK contains Win DLL (precompiled library), Static link lib, Demo IEC101 Server & Client programs, Visual Studio Demo console project files, Doxygen . We used Visual studio compiler to create the dll, sample test projects. FreyrSCADA offering 1) IEC101... -
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Habfuzz
A command-line tool for data-driven fuzzy modelling
Input 1 - A training dataset (multiple observations) of up to four variables (predictors) against one (response variable) Input 2 - A test dataset (multiple observations) of the same four variables with unknown response variable Output - Calculation of the response variable for each test observation using fuzzy logic or fuzzy rule-based Bayesian algorithms HABFUZZ is a habitat model, which can be used in ecohydraulic modelling applications for the calculation of the instream habitat... -
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Pytorch Points 3D
Pytorch framework for doing deep learning on point clouds
...We aim to build a tool that can be used for benchmarking SOTA models, while also allowing practitioners to efficiently pursue research into point cloud analysis, with the end goal of building models which can be applied to real-life applications. Task driven implementation with dynamic model and dataset resolution from arguments. Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. Each base class supports a different data format. -
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DESMO-J is a framework for rapidly building discrete event driven simulation models in Java, which is not restrained to any particular domain of application. It supports both event-oriented and process-oriented modelling views. See http://desmoj.de.
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finds exact gain, directivity and input impedance of Yagi or log-periodic antennas (planar symmetric array of cylindrical dipoles, many driven elements) for a range of specified frequencies, integrates 2D for segments on the same element, moment method
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BEAST
BEAST is a tool dedicated to assess political goals of woody bioenergy
The BioEnergy Allocation and Simulation Tool (BEAST) is a tool dedicated to assess political goals of woody bioenergy production in the context of available biomass potentials and corresponding economic and ecological criteria on a regional level. It is a useful tool in participative decision making processes by iterative simulation and visualization of complex issues. BEAST is a data- and model-driven Decision Support System (DSS) evaluating woody biomass potentials from forests, hedges and trees outside forests as well as short rotation coppice (SRC). The latter one is modelled spatially explicit. This opens the possibility to identify prefered areas for SRC production under different restrictions and goals. Forest wood and wood from outside forests are treated only aggregated. -
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Coastline Evolution Model
Modified version of the Coastline Evolution Model (CEM)
The Coastline Evolution Model (CEM), originally developed by Ashton et al. (2001), Ashton and Murray (2006) and Valvo et al. (2006), is a reduced complexity, one-line sediment transport model that simulates the evolution of coastlines via wave-driven alongshore sediment transport. The original CEM has no Graphical User Interface (GUI) and does not provide graphical visualisations during model runs. -
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MGSyn
MGSyn - Automatic Synthesis for Industrial Automation
MGSyn (Model, Game, Synthesis) is an open-source tool which integrates game-based synthesis into model-driven development for industrial control and automation. It is served for research and educational purposes. MGSyn has been originally developed by Department of Informatics (Unit 6), TU München and fortiss GmbH and is now maintained by fortiss GmbH. -
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famos
Framework for Agent-oriented MOdelling and Simulation
Famos is a Java-based framework for developing agent-based models. It uses the discrete-event simulation framework Desmo-J (http://desmoj.sourceforge.net) as its simulation engine. Famos implements event-driven time advance and focusses on supporting an explicit model of space for the environment, including the movement of agents. Famos was developed in the context of a PhD project. Many aspects of its implementation are therefore still in the prototype stage. It does come with two example models (a re-implementation of Schelling's segregation model and of Epstein and Axtell's Sugarscape model). ... -
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This project aims the requirement of managed informations / documents in the treatment of patients, i.e. integrated care. The underlaying data model implements standards of electronic health recording, the project is based on a SQL db and Java EE framework. This is currently a student driven project for educational purposes.
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Model-Driven Embedded Systems Design Environment for the Industrial Automation Sector: The aim of this open source initiative is to provide a multi-domain model-driven embedded systems design approach for Industrial Automation and Control Systems.
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...The Subversion repository was abandoned. """ E-Cell System is an object-oriented software suite for modeling, simulation, and analysis of large scale complex systems such as biological cells. It allows many components driven by multiple algorithms with different timescales to coexist in a model.
