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Showing 19 open source projects for "setup"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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NVIDIA Isaac Lab
Unified framework for robot learning built on NVIDIA Isaac Sim
Isaac Lab is an open-source modular robotics learning framework built atop Isaac Sim. It simplifies research workflows across reinforcement learning, imitation learning, and motion planning by offering robust, GPU-accelerated simulation with realistic sensor and physics fidelity—ideal for sim-to-real robot training. Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5). GPU-accelerated, high-fidelity physics and sensor simulation suitable for complex learning... -
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Amazon Braket Default Simulator
An implementation of a quantum simulator that you can run locally
...You can use the simulator to test quantum tasks that you construct for the Amazon Braket SDK before you submit them to the Amazon Braket service for execution. You must have the Amazon Braket SDK installed to use the local simulator. Follow the instructions in the README for setup. If you want to contribute to the project, be sure to run unit tests and get a successful result before you submit a pull request. The execution times for the performance tests are affected by the other processes running on the system. In order to get stable results, stop other applications when running these tests. -
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42
Simulation for spacecraft attitude control system analysis and design
42 is a comprehensive general-purpose simulation of spacecraft attitude and orbit dynamics. Its primary purpose is to support design and validation of attitude control systems, from concept studies through integration and test. 42 accurately models multi-body spacecraft attitude dynamics (with rigid and/or flexible bodies), and both two-body and three-body orbital flight regimes, modelling environments from low Earth orbit to throughout the solar system. 42 simulates multiple spacecraft... -
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2d Heat advection Parallelized
MPI based Parallelized C Program code to solve for 2D heat advection.
Type - 2D Grid - Structured Cartesian Case - Heat advection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - MPI (for cluster environment) Inputs: [ Length of domain (LX,LY) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup: The left and top edges are heated to 100 C and the right and bottom boundaries are heated to 0 C. The flow is along the main diagonal. -
Say goodbye to broken revenue funnels and poor customer experiencesLeanData is a Demand Management solution that supports all go-to-market strategies such as account-based sales development, geo-based territories, and more. LeanData features a visual, intuitive workflow native to Salesforce that enables users to view their entire lead flow in one interface. LeanData allows users to access the drag-and-drop feature to route their leads. LeanData also features an algorithms match that uses multiple fields in Salesforce.
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3D Heat advection C code
A C Program code to solve for Heat advection in 3D Cartesian grid.
Type - 3D Grid - Structured Cartesian Case - Heat advection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY,LZ) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The left, top and inside plane boundary is at 100 C and the right, bottom and outside plane boundary is at 0 C. The flow is along the main diagonal. -
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2D Heat advection C code
A C Program code to solve for Heat advection in 2D Cartesian grid.
Type - 2D Grid - Structured Cartesian Case - Heat advection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The left and top boundary is at 100 C and the right and bottom boundary is at 0 C. The flow is along the main diagonal. -
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3D Heat convection C code
A C Program code to solve for Heat convection in 3D Cartesian grid.
Type - 3D Grid - Structured Cartesian Case - Heat convection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The top, bottom, front and back boundaries are heated to 100 C. The left boundary is inlet (Velocity = 1m/s along X direction) and at an Inlet temperature of 30 C and the right boundary is outlet. -
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2D Heat convection C code
A C Program code to solve for Heat convection in 2D Cartesian grid.
Type - 2D Grid - Structured Cartesian Case - Heat convection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The top and bottom boundaries are heated to 100 C. The left boundary is inlet (Velocity = 1m/s along X direction) and at an Inlet temperature of 30 C and the right boundary is outlet. -
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3d axisymmetric heat diffusion C code
A C Program code to solve for Heat diffusion in 3D Axi-symmetric grid.
Type - 3D Grid - Axisymmetric Case - Heat diffusion Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LR,LZ,LH) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup - Periphery heated to 500 C Top to 500 C Bottom to 500 C -
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2d axisymmetric heat diffusion C code
A C Program code to solve for Heat diffusion in 2D Axi-symmetric grid.
Type - 2D Grid - Axisymmetric Case - Heat diffusion Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LR,LZ) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup - Periphery heated to 200 C Top to 300 C Bottom to 100 C -
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3d heat conduction parallelized
MPI based Parallelized C Program code to solve for 3D heat conduction.
Type - 3D Grid - Structured Cartesian Case - Heat conduction Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit Temporal - Unsteady Parallelized - Yes Inputs: [ Length of domain (LX,LY,LZ) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The six boundaries are heated to 100 C, 200 C, 300 C, 400 C, 500 C, 600 C respectively. -
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3d Heat conduction C code
A C Program code to solve for Heat conduction in 3D Cartesian grid.
Type - 3D Grid - Structured Cartesian Case - Heat Conduction Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY,LZ) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The six boundaries are heated to 100 C, 200 C, 300 C, 400 C, 500 C and 600 C respectively. -
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OptFerm
A computational platform to study fermentation processes
...Also, contains a module for the estimation of kinetic and yield parameters, allowing the use of experimental data obtained from batch or fed-batch fermentations to reach the best possible model setup. -
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CommandCentre
Command Centre
...This is my research project from 2003, which I recently updated with acceleration- and console changes (Surround Sound, Doppler Effects, Device Updates, Physics) in a long weekend but project should be considered abandoned. Additionally, the Performer libraries have been abandoned by Silicon Graphics. Minor setup- and make reconfiguration bugs, no changes planned. The Command Centre is a Simulation Programming Framework for advanced Command and Control Simulators on Linux/Windows using C/C++ and Java. The Framework integrates with Leading Tools like Visual Paradigm (UML), Net Beans 7.0 (Java), and Code Warrior (C/C++). The codebase supports building Heterogenous Command and Control Consoles and Accelerated User Attached Audiovisuals. ... -
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MIST
A MATLAB toolbox to simulate optical systems
Modal Interferometer Simulation Tool (MIST) is a MATLAB toolbox that can simulate arbitrary resonant optical systems in the paraxial beam approximation. It allows the user to define any optical setup (composed typically of laser sources, mirrors, lenses, electro-optical modulators and detectors) and to compute the static laser field at any point. It uses a Hermite-Gauss modal decomposition to simulate diffraction limited optics. This tool is being developed mainly for simulation of large scale interferometers with resonant cavities used for the detection of gravitational waves. ... -
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Mizar
N-body gravitational simulator
Mizar is an N-body gravitational simulator. Given a starting setup consisting of the masses, positions, and velocities of any number of objects (conceptually, planets and stars), Mizar calculates and draws how they subsequently move according to their velocities and the influence of each other's gravity. Requirements: * KDE 4.4.5 * Qt 4.6.2 Requirements to build: * KDE 4.4.5 dev files (e.g., provided by kdelibs5-dev in Ubuntu 10.04) * Qt 4.6.2 dev files (e.g., libqt4-dev on Ubuntu 10.04) * libgsl (e.g., libgsl0-dev on Ubuntu 10.04) * cmake * gcc, g++ 4.4.3 * python 2.6 -
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Netkit is a network emulation environment that allows the user to set up complex scenarios on a single PC with little effort and at no cost. In itself, Netkit aims at integrating different other open source products to provide an easy-to-use interface.
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Yans is a extensible, mixed-level, Monte-Carlo Method based, discrete event network simulator. Yans is divided into interacting layers, namely: core, topology, nodes, monitors; and is driven by a config-file that describes the setup of the network.
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DisCoBotS
DisCoBotS is a Distributed Collective Robotics Simulator
DisCoBotS (Distributed Collective Robotics Simulator) aims to be a robotics simulator with a focus on swarm and modular robotics that can be run in parallel on multiple computers to speed up calculations of sensor values. Other features are: Fast calculation of sensor values by using graphics hardware, physics, integrated python shell, simple xml-based scene setup. Site is currently under construction. Repository will be setup soon. Stay tuned.
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