TM's repositories
android-game-pop-quiz
Demo of Android material design for Japanese vocabulary quiz
android-har-on-device-inference
Android demo of on-device deep learning inference for human activity recognition
ards
activity recognition with the dialogue system using Dialogflow and FireBase (Updated on Jan 30, 2019)
card-game-client
A game client using Unity for an online multiplayer card game
card-game-server
A game server for an online multiplayer card game.
har-eval-hasca20
Evaluation of mobile activity recognition for HASCA20
har-eval-imwut21
Evaluation of crowdsourced data labeling for mobile activity recognition for IMWUT21 (alpha version)
dialogue-annotation
a dialogue-based annotation for activity recognition (hc2019)
dialogue-evaluating
evaluating a spoken dialogue system for recording systems of nursing care (ss2019)
dialogue-input
sequence labeling MIMIC-III noteevents (am2020), multi-label classification NTCIR-13 MedWeb (demo2020)
dialogue-input-app
an extended fonlog for the dialogue input demo (Updated on Jun 5, 2020)
dialogue-input-tflite
on-device dialogue input
dialogue-labeling
(sample) automatic labeled dialogue generation for nursing record systems (jpm2020)
har-eval-ipsj19
Evaluation of mobile activity recognition for IPSJ SIG Technical Report (IPSJ19)
har-eval-mobicase18
Evaluation of mobile activity recognition and cheating detection using R for Mobicase18
har-for-r
Sensor-based human activity recognition using supervised machine learning algorithms for R users
har-framework
Demo of an activity recognition framework on EC2
har-lstm-with-optimization
LSTM and CNN-LSTM with optimization based Magnitude-based Pruning for human activity recognition
har-on-device-deep-personalization
On-device deep personalization for human activity recognition
har-processing3-demo
Demo for mobile activity recognition using Processing 3
laravel-lms
Laravel for a learning management system
nodejs-web-api-unity
Node JS Web API with Unity 5.3
pre-consultancy
a chatbot with Dialogflow, NodeJS, and Webhooks (Updated on Dec 5, 2018)
qa-fine-tuning-bert
QAs with fine-tuned BERT models for EHRs (wc2020)
qa-seq2seq
QAs with seq2seq and attention (gn2018)
SLU
Deep Learning for Conversational AI
supporting-materials-sensors20
Supporting materials for On-Device Deep Personalization (Sensors20)
tensorflow-in-practice
DeepLearning.AI TensorFlow Developer Specialization