Showing 5 open source projects for "framework-arduinoststm32"

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  • 1

    Wheefun Computer Prototyping Kit

    A Toolkit for Designing Computers

    This package is designed for people who are a) interested in writing emulators or b) integrating this level of detain into their applications (e.g., a video game). The ability to do this is useful because a) it allows for tinkering far before physical implementation of the design is. In addition to a strong core, WFCPK will also include modules emulating various processors (e.g., the MOS 6502 and the Zilog Z80) as well as the Video-Audio Interface (a custom VGA-compatible display and...
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  • 2
    CoreTML framework
    CoreTML framework is an open-source template-based configuration system allowing the developer to create parametrized templates by inserting special content to any text files. Its main purpose is to serve as a toolkit for semiconductor IP core creation (based on VHDL/Verilog).
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  • 3

    COFILOS

    A Development Framework for Coldfire

    Contains a framework for Coldfire MCUs like 52254. The framework supports a Command Line Interface (CLI) that may work from Serial port, USB or ENET. The framework uses Processor Expert and IDE requirement is MCU Eclipse 10.4 from Freescale. Includes the FunkOS Realtime Operating System by Funkenstein Software Consulting, available at http://funkos.sourceforge.net Mainly it is a support package for the development board Perseus, but I have ported also the RTOS to MCF52233DEMO board...
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  • 4
    AVRILOS

    AVRILOS

    Simple AVR OS

    A simple Embedded System Framework that allows rapid development of applications build for AVR family. System is based on a super-loop architecture with check and skip (no-wait) flag event driver system. Supports: UART, SysTick Timer, ADC, SPI, EEPROM, PWM. Also supports: Xilinx FPGA configuration, FPGA SSI interface, smart card reader etc. Tested partially (different modules in each case) on ATMega163/16/32/323/8. Awards CodeProject 2010, Third Prize, Hardware and Device...
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  • 5
    The project goal is to develop several IP cores that would implement artificial neural networks using FPGA resources. These cores will be designed in such a way to allow easy integration in the Xilinx EDK framework.
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