Introduction to Machine Learning Systems
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Updated
Feb 7, 2026 - JavaScript
Introduction to Machine Learning Systems
TinyML & Edge AI: On-device inference, model quantization, embedded ML, ultra-low-power AI for microcontrollers and IoT devices.
Curated Edge AI resources for computer vision & audio: hardware, frameworks, benchmarks, literature, and communities (excluding mobile).
CS2 Skin Preview & Customization Utility for Weapons and Inventory is a visual tool for exploring and customizing weapon and inventory appearances in Counter-Strike 2, designed for previews, loadout styling, and cosmetic experimentation.
This is open source library for creating artificial neural network in c programming language for general purpose use.
Notes and resources from Qualcomm On-device AI course, provided by DeepLearningAI
Real-time motor speed classification using TinyML on Raspberry Pi Pico W. MLP neural network trained with TensorFlow deployed on embedded hardware (5.3 KB model). Classifies motor vibration into 4 speed levels using MPU6050 accelerometer with live OLED display feedback. Complete ML workflow from data collection to edge deployment.
Multiposition heart sound analysis
ESP32 camera that escalates from gentle reminders to airhorn if you slouch
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs
🎮 Configure and manage Counter-Strike 2 servers easily with cs2, ensuring a smooth gaming experience for all players.
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