NOAH's repositories
android-open-project
A categorized collection of Android Open Source Projects, Dev Tools Pro:
android_inventory
Inventory app project for Udacity Android Basics Nanodegree
ant-design
🐜 A UI Design Language
ATTinyCore
Arduino core for ATtiny 1634, 828, x313, x4, x41, x5, x61, x7 and x8
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
BluetoothKit
Android BLE蓝牙通信库
Embedded-Neural-Network
collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning
Face-Comparison
Uses face recognition module of python to compare person's pic and returns the name of person if found..
forecast.io
wrapper for the forecast.io API
Human-detection-and-Tracking
Human-detection-and-Tracking
linux-xlnx
The official Linux kernel from Xilinx
micropython
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
nerf-iron-dome
Automatic Nerf Sentry Gun
openwebnet-android
OpenWebNet Android client for My Home BTicino and Legrand home automation system
privacy-protocols
Ideas on how to share private data on a public blockchain
python-gitlab-admin
GitLab administration and provisioning tool
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
RegisterDefinitions
Register definition header files for Rohm and Kionix sensors.
scikit-learn
scikit-learn: machine learning in Python
SmartGadget-Android
The Sensirion Smart Gadget app allows you to establish a BLE (Bluetooth Low Energy) connection to your Sensirion Smart Gadget. The app displays the current temperature and relative humidity values measured by the integrated sensors.
StepperDriver
Arduino library for A4988, DRV8825, DRV8834 and generic two-pin (DIR/STEP) stepper motor drivers
Sunfounder_Smart_Video_Car_Kit_for_RaspberryPi
Sunfounder Smart Video Car Kit for Raspberry Pi
tensorflow
Computation using data flow graphs for scalable machine learning
vehicle-detection
Vehicle detection using machine learning and computer vision techniques for Udacity's self-driving car course.