juhwakkim Goto Github PK
Type: User
Type: User
CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
An OpenAI Gym Env for Panda
https://juhwakkim.github.io/ 공부용 블로그
Keras 응용(CNN, RNN, GAN, DNN, ETC...) 사용법 예시
Keras implementations of Generative Adversarial Networks.
Mobile Manipulator control package for beverage serving automation
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)
An Open Source Machine Learning Framework for Everyone
Tensorflow-keras 공부
Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
A simple, fully convolutional model for real-time instance segmentation.
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.