1.Developer-Y / cs-video-courses
List of Computer Science courses with video lectures.
Ranked by Attention Score: stars gained over the last 7 complete days
17 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
List of Computer Science courses with video lectures.
A 100-day challenge exploring IoT and embedded systems using ESP32, ESP8266, and Raspberry Pi Pico with MicroPython. Each day covers a new sensor or module with complete code, circuit diagram, and explanation.
Comprehensive roadmap for aspiring Embedded Systems Engineers, featuring a curated list of learning resources
AirPlay and AirPlay 2 audio player
F´ - A flight software and embedded systems framework
RT-Thread is an open source IoT Real-Time Operating System (RTOS). https://rt-thread.github.io/rt-thread/
Embedded Template Library
The wolfSSL library is a small, fast, portable implementation of TLS/SSL for embedded devices to the cloud. wolfSSL supports up to TLS 1.3 and DTLS 1.3! Update to wolfSSL 5.9.1 for the latest CVE fixes.
Simple .INI file parser in C, good for embedded systems
Hardware testing for the software world. Real or virtual, local or remote, human, automated or agentic.
A lightweight, secure, easy-to-use crypto library suitable for constrained environments.
Infrared gesture-based BLE media controller for AtomS3R and PAJ7620U2; C++ firmware, trajectory replay, and documented v24 baseline.
HomeMaster is an open-source platform for local-first smart home automation using ESP32-based devices like MiniPLC and MicroPLC. This repository includes firmware, schematics, and documentation for creating modular, cloud-free automation systems fully compatible with Home Assistant via ESPHome
Generator of runtime monitors for flight and robotics applications.
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
Machine Learning and Digital Signal Processing for MicroPython
A structured, AI-assisted toolkit for defining hardware products that have software inside — from concept through engineering spec to presentation-ready materials in eight phases.