Satoshi K.

DeviceHardware. get iPhone, iPad and Mac model names and hardware information, such as SoC name.

LiTeX. Live Text Command Line Tool

DepthMap. Obtain a depth map from a LiDAR scanner

Logger7. Accelerometer app built in SwiftUI, support for iPhone, Apple Watch and AirPods Pro

Gaufre. 🧇 Check load of each core of CPU on your Mac menu bar.

Calories. See your energy balance and nutrition intake on the Widget

Logger-Watch. Accelerometer app built in SwiftUI, support for Apple Watch

ProcessorKit. get CPU usage on iPhone, iPad, and Mac.

Vision-ML-SwiftUI. Classifying Images with Vision, Core ML and SwiftUI

TamagotchiPet. Keep Tamagotchi with Widget, built in SwiftUI

Logger6. Accelerometer app built in SwiftUI, support for iPhone and Apple Watch

DepthBrewer. Obtain a depth map from a portrait image

BatteryXD. •ᴗ• Cute battery widget built in SwiftUI

DualDepth. Obtain a depth map from dual camera

Activitybench. Benchmarking convolutional neural networks for sensor-based human activity recognition on iPhone

Shortcake. 🍰 take video's screenshots as original resolution

Motion-CoreML. Classify activities from acceleration data with Core ML

BodyTemperature. Body Temperature app for Apple Watch built in SwiftUI (Joke app)

tfgarden. CNN models for sensor-based human activity recognition built in TensorFlow

tfmars. MarNASNets and CNN for sensor-based human activity recognition built in TensorFlow

Mille. 🥞 simulate the appearance of a hierarchy with widgets using an accent color, for dashboards

spotify-dlt-duck-db. Python

app-library. The library of my developed apps

CoreWafer. 🧇 Package for Gaufre and Waffle

Convert2CoreMLDemo. example of Core ML Tools when converted from TensorFlow and PyTorch

A-NAS. Jupyter Notebook

ymtk-supplementary. Python

CalorieMateLIQUID-Python. Python

cobalt-duckdb. Python

ANATAforDREAM. Imitate A・NA・TA for DREAM with SwiftUI

tf_check. Python

ARASHI. Jupyter Notebook

tamagotchOS. watchOS-like Tamagotchi Smart

TF_CNN_Collection_to_CoreML. Convert activity recognition CNN models built in TensorFlow to Core ML models

Hopper. Detect motion on a trampoline from acceleration data with Core ML

devicehard. get hardware information of Mac devices