[Side Project] Nova Service Loyalty App (2024)

Application for manage loyalty accrual and redemption for Nova Service

Go Socket.io (2022)

Upgrade the library to work with newest socket.io version (v4)

[Side Project] Pokerage (2021)

Develop the communication features, game state synching mechanism, gaming bots and tour holding for the poker game

Google Cloud SDK PubSub Emulator (2021)

Google Cloud SDK PubSub Emulator for local development

X-Crafter (2021)

a go template breaker and builder helps you easily building a SDK

LogrGorm2 (2021)

a logr logging driver for gorm v2

Gomw (2021)

A framework for fasten creating Go HTTP Middleware

Go bootstraper (2021)

A bootstraper that help you create a standardized go project at lightning speed

JsonCase (2020)

a go package for converting json case to various cases

[Side Project] VSmart FaceID (2019)

Help optimizing the NCNN model size for mobile application

The New High-Performance Face Tracking System based on Detection-Tracking and Tracklet-Tracklet Association in Semi-Online Mode (2019)

Despite recent advances in multiple object tracking and pedestrian tracking, multiple-face tracking remains a challenging problem. In this work, the authors propose a framework to solve the problem in semi-online manner (the framework runs in real-time speed with two-second delay).

Helm Charts (Telegraf) (2019)

Template update and bugs fixed for Influx Telegraf chart.

Elasticsearch Vietnamese Analysis (2019)

An Open Source Vietnamese ElasticSearch Analyzer for Everyone.

Python programming self-study (2018)

A book for python basic learner. My laboratory and I co-authored this book to help students learn python programming.

Video segmentation using keywords (2017)

At DAVIS-2016 Challenge, many state-of-art video segmentation methods achieve potential results, but they still much depend on annotated frames to distinguish between background and foreground. It takes a lot of time and efforts to create these frames exactly. In this paper, we introduce a method to segment objects from video based on keywords given by user.