gitter-badger Goto Github PK
Name: The Gitter Badger
Type: User
Company: Gitter
Location: Safe in the Gitter den
Blog: https://gitter.im
Name: The Gitter Badger
Type: User
Company: Gitter
Location: Safe in the Gitter den
Blog: https://gitter.im
Public page for the 8-Bit MixTape
homework website
ADSI grupo 901540 Segundo Trimestre
Trimestre 3 ADSI 901540 G1
955 不加班的公司名单
A list of 99 machine learning projects for anyone interested to learn from coding and building projects
Grab nonprofit tax information from the ProPublica API and put it in a Google spreadsheet!
Android unofficial REST Client of 9gag.
Small Object Programming Checker
The club for developing new things from 9PM to 12AM daily
Library for annotating ES5
A Baseline for Front-End Developers
母體概念智能合約
Accessible Rich Internet Applications Text Editor
A-Editor Synchronizer
Sublime file icons for improved visual grepping
Updated prototype of Augmented Tactics in 2D with F#
My github website
AUTOSAR MetaModels
The performance of deep learning algorithms is highly dependent on the size and diversity of data. However, for handwritten character recognition, dataset creation, segmentation, and labeling are time consuming and laborious tasks and not much researched. This work proposes a novel and generic framework which automates the segmentation and labeling processes for handwritten datasets. First, a user collects handwritten glyphs on the proposed form. Next, based on a priori knowledge, local peaks from horizontal and vertical projection functions are computed. This helps in locating and segmenting individual samples automatically. To show the effectiveness of the proposed framework, a dataset of 160,000 samples is collected for an oriental language. We profile the segmentation of samples from one sheet with three approaches: manual, semi-automatic, and the proposed fully automatic approach. Compared to the manual and semi-automatic processes, the proposed approach is 120× and 65× faster, respectively. Further, we also present the classification of this dataset by traditional and state-of-the-art machine learning algorithms.
My personal website along with utilities.
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.