nattafahhm Goto Github PK
Name: nattafahh
Type: User
Bio: nattafahh
Location: Fukuoka, Japan
Name: nattafahh
Type: User
Bio: nattafahh
Location: Fukuoka, Japan
ability-bank-doc
Demo of Android material design for Japanese vocabulary quiz
Android demo of on-device deep learning inference for human activity recognition
Demo of Thai Tone application for learning how to pronounce Thai sentences
Angular for a gamification platform for multi-application in nursing services
activity recognition with the dialogue system using Dialogflow and FireBase (Updated on Jan 30, 2019)
Google Brain AutoML
A collection of reflection removal methods
A game client using Unity for an online multiplayer card game
A (C++) game server for an online multiplayer card game
AI neural network trained for anomaly detection is deployed as a containerized REST API
My notes / works on deep learning from Coursera
Collect and publish datasets for On-Device Deep Learning Inference (Sensors19)
An implementation of the state-of-the-art Deep Active Learning algorithms
a dialogue-based annotation for activity recognition (hc2019)
a dialogue-based annotation for activity recognition
sequence labeling MIMIC-III noteevents (am2020), multi-label classification NTCIR-13 MedWeb (demo2020)
an extended fonlog for the dialogue input demo (Updated on Jun 5, 2020)
on-device dialogue input
automatic labeled dialogue generation for nursing record systems (jpm2020)
Statistical and machine learning for electricity demand prediction in Miyama, Fukuoka
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
Feature selector is a tool for dimensionality reduction of machine learning datasets
Single Page App with Flask and Vue.js
Evaluation of mobile activity recognition for HASCA20
Evaluation for IMWUT21 (alpha version)
Evaluation of mobile activity recognition for IPSJ SIG Technical Report (IPSJ19)
Evaluation of mobile activity recognition and cheating detection using R for Mobicase18
Sensor-based human activity recognition using supervised machine learning algorithms for R users
Demo of an activity recognition framework on EC2
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.