Showing 1-20 of 23 projects
A personal collection of books, including PDF downloads, Baidu Cloud, and e-book downloads.
RT-Thread is an open source IoT real-time operating system (RTOS) for embedded systems and microcontrollers.
Production infrastructure for running machine learning models at scale
Cortex is a horizontally scalable, highly available, multi-tenant, long-term Prometheus monitoring solution.
Open source toolset for programming STM32 MCUs, supporting ARM-based embedded development.
TheHive is a collaborative incident response and digital forensics platform for security professionals.
In-application debugger for ARM Cortex and RISC-V processors.
Open source ARM Cortex-M microcontroller library for embedded systems development
Complete LLM training implementation: pretraining, SFT, DPO, and RLHF from scratch in Python
uTensor is a TinyML AI inference library for microcontrollers and edge devices, enabling embedded AI applications.
CMSIS (Cortex Microcontroller Software Interface Standard) is a vendor-independent hardware abstraction layer for the Cortex-M processor series.
Cortex is a powerful open-source engine for observable analysis and active incident response.
A Rust library for building advanced keyboard firmware with features like layers, macros, wireless, and split support.
Open-source Python library for programming and debugging Arm Cortex-M microcontrollers.
A very small, palmtop-sized vector network analyzer firmware for embedded systems.
A companion repository for a video course on modern embedded systems programming using C and ARM Cortex-M architectures.
Cortex is a machine learning library for Clojure, providing a powerful and flexible framework for building AI models.
A comprehensive security operations content repository for Cortex XSOAR, an enterprise security orchestration, automation, and response (SOAR) platform.
A real-time event framework and RTOS for embedded systems, specifically designed for ARM Cortex-M microcontrollers.
A library for keyword spotting on Arm Cortex-M microcontrollers using machine learning and the CMSIS-NN framework.
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