Steve Zehui Ji (cococ0j)

cococ0j

Geek Repo

Location:Melbourne, Australia

Home Page:www.zehuiji.com

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Steve Zehui Ji's repositories

12-design

Ten Quick Software Design Tips for Data Scientists

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AdjustedR2

Melbourne Datathon / Hackathon Code Repository

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asciidoctor

:gem: A fast, open source text processor and publishing toolchain, written in Ruby, for converting AsciiDoc content to HTML5, DocBook 5 (or 4.5) and other formats.

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c9-python-getting-started

Sample code for Channel 9 Python for Beginners course

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copilot-rock-paper-scissors

This is a self-guided tutorial to help folks learn how to use GitHub Copilot using the CodeTour extension to build a rock, paper, scissors game

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dataanalysis

Projects related to data analysis.

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datasharing

The Leek group guide to data sharing

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eng-practices

Google's Engineering Practices documentation

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fdps-v3

Code & Data for V3 of the Fast data Processing with Spark 2 book

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fullstack-course4

Coursera: https://www.coursera.org/learn/html-css-javascript-for-web-developers/home/welcome

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fullstack-first-step

learn web developing

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GAIN

Generative Adversarial Imputation Networks (GAIN)

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handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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katacoda-scenarios

Katacoda Interactive Scenarios - https://www.katacoda.com/cococ0j

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LyricsX

🎶 Lyrics for iTunes, Spotify, Vox and Audirvana Plus.

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optus-sagemcom-fast-3864-hacks

Advanced tools and tips for the Optus Sagemcom F@st 3864 broadband router

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OTB

Github mirror of https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb

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PandasHolisticQuickGuide

Create a Pandas quick reference manual for the purpose of recapping or transferring from R or SQL.

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python-docker

Test dockerize python script.

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Pythonista-Projects

Learning Python using the iOS Pythonista application

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rbenv

Groom your app’s Ruby environment

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Start_maja

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

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STS-CNN

Q. Zhang, Q. Yuan, C. Zeng, X. Li, and Y. Wei, “Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network,” IEEE TGRS, 2018.

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temporalCNN

Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

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