OpenMachine-ai/HuggingFive
HuggingFive 🖐️ is a collection of ML functions and libraries written in RISC-V assembly and C.
HuggingFive provides fundamental machine learning operations and complete neural networks optimized for RISC-V processors, written directly in assembly and C. It takes in computational requirements for common neural network layers like convolutions and outputs highly efficient, low-level code. This is for embedded systems developers and hardware engineers building AI-powered devices on RISC-V architecture.
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Use this if you are developing machine learning applications on resource-constrained RISC-V hardware and need to achieve maximum performance and efficiency at the assembly level.
Not ideal if you are working with higher-level programming languages like Python or TensorFlow, or if your target hardware is not RISC-V.
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Last pushed
Jul 29, 2023
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