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Di Wang's Projects

captcha_automatic_identification icon captcha_automatic_identification

This is the final project of the course 'Advanced application of Tensorflow' with the GreekTime Tech company. Captcha is commonly used to tell computers and humans apart. In this project, we generate numerical captcha images, preprocess them, build the model and deploy the automatic identification service to the website.

client-system-spark icon client-system-spark

This is a smart client system based on spark. This is a on-going project. Currently I am learning spring framework.

docker-react icon docker-react

This is a project for a bootcamp about docker and kubernetes where we deploy a random generated react code to aws.

facenet_learning icon facenet_learning

This is a homework from the first part of the tensorflow bootcamp. Our goal is to learn and implement the faceNet program.

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

hadoop_mapreduce icon hadoop_mapreduce

This is the final project of my big data Bootcamp. I implemented a cluster(4 virtual machines) of hdfs (ha style) system and another yarn system(2 resource managers and 3 node manager with ha style). After building it, I wrote a topn java code and deployed it to my hadoop. This topn code is to find two days with the highest temperature in our dataset according to our learnt knowledge.

java_web_project icon java_web_project

This repository is for my java web projects. This java web boot camp is provided by www.imooc.com.

kaggle icon kaggle

kaggle competition's summary and learning notes

multi-docker icon multi-docker

This is a project of a bootcamp about docker and kubernetes where we deploy multi dockers(redis, postgresql, a written js source code for calculating fibonacci, and routing nginx)

multi-k8s icon multi-k8s

This is a project of a Kubernetes bootcamp on udemy.

retailer_saas_project_goods_shelf_detection_classification icon retailer_saas_project_goods_shelf_detection_classification

This is my final tensorflow 2 project provided by Greektime technology Bootcamp. In this project, we use retina network to detect goods shelf and resnet 50 to classify goods. After that, we use flask to package our trained model into a saas web service. For deployment, we build our docker image and post it to docker hub. Since I move all my documents from google colab and dockers to github. The files are too big and I have to only update codes to github for future review. The file structure are not accessible anymore.

rl-baselines3-zoo icon rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

sparkbootcamp icon sparkbootcamp

This repository includes all my spark bootcamp's projects and homeworks

vae icon vae

a simple vae and cvae from keras

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