Search Results for "website source"
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Showing 4 open source projects for "website source"
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OpenOCD - Open On-Chip Debugger
The Open On-Chip Debugger
The "Open On-Chip Debugger" provides JTAG/SWD access from GDB (or directly with TCL scripts) to processors with ARM and MIPS based cores. See website for full list of supported targets. -
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MinGW GCC for Power PC
MinGW GCC cross development environment for Power PC.
This is a Windows command line based cross development environment for Power PC built from the latest stable release of GCC (currently 13.1.0). I built 12.2.0 incorrectly so I've deleted it. Also included is Gnu make along with the necessary MinGW dlls to make it all work. I build tool chains for other targets, from time to time, to use for testing Flash Insight, a device programmer that is available on my website. Flash Insight doesn't currently support PowerPC but once I have the tool... -
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MinGW GCC For M68K
MinGW GCC cross development environment for M68K.
This is a Windows command line based cross development environment for the M68K/ColdFire family of processors built from the latest stable release of GCC (currently 13.1.0). I recently incorrectly built 12.2.0 so have deleted it. Also included is Gnu make along with the necessary MinGW dlls to make it all work. I build this tool chain, from time to time, to use for testing Flash Insight, a device programmer that is available on my website. I want to make it available to the embedded... -
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SOAPdenovo2
Large-size genome de-novo assembler
What's next of SOAPdenovo2: MEGAHIT is the formal successor of SOAPdenovo2 MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph http://www.ncbi.nlm.nih.gov/pubmed/25609793 https://github.com/voutcn/megahit Latest Code on GitHub: https://github.com/aquaskyline/SOAPdenovo2 SOAPdenovo is a novel short-read assembly method that can build a de novo draft assembly for human-sized genomes. The program is specially designed... -
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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