Showing 7 open source projects for "dev c++ example"

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    Level Up Your Cyber Defense with External Threat Management

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    Cloud data warehouse to power your data-driven innovation

    BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

    BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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  • 1
    PICSimLab - Prog. IC Simulator Lab.

    PICSimLab - Prog. IC Simulator Lab.

    PICSimLab is a realtime emulator for PIC, Arduino, STM32, ESP32, ...

    PICSimLab is a realtime emulator of development boards with MPLABX/avr-gdb debugger integration. PICSimLab supports microcontrollers from picsim, simavr, uCsim, qemu-stm32, qemu-esp32, and gpsim. PICSimLab has integration with MPLABX/Arduino IDE for programming the microcontroller's boards. As the purpose of PICSimLab is to emulate real hardware it does not have any source code editing support. For code editing and debugging the same tools used for a real board should be used with PICSimLab,...
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    Downloads: 645 This Week
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  • 2

    Frame3DD

    Static and Dynamic Structural Analysis of 2D and 3D frames.

    FRAME3DD is a program for the static and dynamic structural analysis of two- and three-dimensional frames and trusses with elastic and geometric stiffness.
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    Downloads: 92 This Week
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  • 3

    neuranep

    Neural Network Engineering Platform

    A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating...
    Downloads: 0 This Week
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  • 4

    N.Tesla

    Numerical Transient Simulator for Power System

    June 24, 2021. This project has been updated to STEPS project at github since March 21, 2018. Please go to https://github.com/changgang/steps for latest version. _______________________________ Great news. Version 0.6.6 is released with HVDC and Switched shunt model for powerflow. Please leave feedback to the developer. N.Tesla is an open source project to provide students and researchers of EE with a tool to implement new models for power system study and research. N.Tesla is...
    Downloads: 0 This Week
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  • Total Network Visibility for Network Engineers and IT Managers Icon
    Total Network Visibility for Network Engineers and IT Managers

    Network monitoring and troubleshooting is hard. TotalView makes it easy.

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  • 5
    CTruck3D _Open

    CTruck3D _Open

    realistic truck & car simulator, with OpenGL graphics

    update: https://sourceforge.net/projects/newctruck3drally/ It's a 3D, physically realistic truck/car simulator, oriented to dirt tracks. This is subsancially kept as hystorical. The environment is a hilly terrain which can also be user-defined in the form of a Bitmap image file (where intensity of red component defines height). It's similar to the classic "Terep 2". Particular care for internal cam. Written in standard C. There's a Windows executable ready for use, but it's compilable...
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  • 6

    SPSens

    Stochastic parameter sensitivity analysis for chemical networks

    SPSens is a complete software package written in C that estimates parameter sensitivities for stochastic models of chemical and biochemical reaction networks using Monte Carlo (MC) stochastic simulations. It is possible to estimate sensitivities with respect to system parameters using the following algorithms: finite difference methods (crude monte carlo, common reaction path, coupled finite differences); likelihood ratio methods; and regularized pathwise derivatives.
    Downloads: 0 This Week
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  • 7
    Neural gas is a one of method for competitive learning. This algorithm can be used for example in Machine vision. We have implemented this algorithm on Cell Broadband Engine.
    Downloads: 0 This Week
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