jiankaiwang/k8s-basis

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jiankaiwang/k8s-basis

jiankaiwang

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In this repository, we address the issues of how to use Kubernetes with real cases. We start from the basic objects in Kubernetes, Pods, deployments, and Services. This repository is also a tutorial for those with advanced containerization skills trying to step into the Kubernetes.

FirstPersonController

a tutorial for first person controller on unity

sophia

The sophia project is the coding-based tutorial for machine intelligence (MI) and artificial intelligence (AI).

Jupyter Notebook

TF_ObjectDetection_Flow

The tutorial is the workflow from labeling objects, building a object detection model in tensorflow, training it locally, and then using it on python.

Jupyter Notebook

Flask_Video_Streaming_for_Object_Detection

the simple example for object detection to the video streaming via flask server

ioutracker

IOUTracker implements a tracking algorithm or method to track objects based on their Intersection-Over-Union (IOU) information across the consecutive frames.

distributed_training

This repository is a tutorial targeting how to train a deep neural network model in a higher efficient way. In this repository, we focus on two main frameworks that are Keras and Tensorflow.

Jupyter Notebook

scai

Simple Cloud-AI (SCAI) is a simple Restful API server for AI image recognition.

mlflow-basis

build a docker image for mlflow

NextGenerationSequencing

Construct a flow to analyze NGS data based on R, Perl, and Python.

vott

This tool provides end to end support for generating datasets and validating object detection models from video and image assets. The generated output data would be further the input into the CNTK.

tcdcwebar

Taiwan CDC WebAR Pilot Project

aiot

In this repository, we introduce several edge-AI platforms and demonstrate how to use them from scratch. Most of them are expanded from the concept of IoT.

Jupyter Notebook

cpp-builder

The C++ builder is a tutorial for demonstrating how to build a C++-based project by different approaches.

codein

Codein is a cross-platform Swift IDE based on docker and is a programming IDE framework as well. (https://codein.ddns.net/)

tcdcwebvrimage

A quick WebVR demo using panorama images. The technique is mainly using A-frame, a wonderful WebVR framework. You can even create a cross-platform (Android, iOS) VR app and use Google Cardboard to view the WebVR app.

data-science

The book focuses on both fundamental science knowledge, including machine learning, deep learning, data mining, statistics, and mathematics, and the other is implementations, including coding, tool, etc.

object_detection_tutorial

The tutorial is designed for object detection via deep learning.

Jupyter Notebook

flight_control_system

The flight cnntrol system is the core inside the drone and it keeps drone steady under all conditions.

design

The introduction to 2D, 3D and vedio design.

umap

Umap is the open source for GIS framework with AI chatbot.

word_level_audio_recognition

a simple audio recognition of the level of word

Jupyter Notebook

mljs

Mljs is focusing on the coding tutorial to machine learning and deep learning.

bites

Bites project is the open source for GIS with AI image recognition for providing residents with information of snake and rabies-infected animals.

MultiTransmissionFramework

開發與定義多種 Android 底層傳輸內容框架，透過自定義通訊協定，達到伺服器端與客戶端的互動式、雙向訊息交換，包含多點觸碰訊息即時交換並呈現、畫面即時同步等外，並提供一系列 high level 應用函式庫，如畫面編輯等，供軟體開發工程師等快速佈署 android 相關應用程式。

bites_AI_android

Bites project is the open source for GIS with AI image recognition for providing residents with information of snake and rabies-infected animals. We build a object detection and tracking models for real time video streaming and embed them into the android app.

ITHandbook

Since 2005, the integration of information technology, communication technology, and internet of things becomes more popular. Leading companies are building their own top-to-down, upstream-to-downstream ecosystems. The integrated solutions are adopted and deployed more and more, from smart home to smart city (AI, drone, traffic system, etc.) . In the handbook, we try to implement several integrated ecosystems to address different issues and record the process or know-how. Please enjoy it.

Jupyter Notebook