Gracetyty

Gracetyty

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Gracetyty's repositories

art-gallery

As the outbreak of Covid-19, many schools and educational institutions have moved their platforms from the real classrooms to virtual ones. In the Intro- duction Digital Humanities class, we have learned different digital tools and various methods on how to analyze data. It is obvious that digitalization has been reshaping many dimensions of our life. More and more educational in- stitutions, museums and businesses will be presented on the Internet. How technology transforms real life? There are no definite answers, but I think there are some ways to find inspiration through doing some practical things. Therefore, I combine art gallery with Internet to envision a possible virtual art classroom from enjoying a virtual gallery. The whole responsive website is named ”Art Gallery”: 4 web pages: index(homepage,introduction, art history and art gallery).The website is mainly used for art class and some more contents are needed to be updated as long as it will be used as an educational digital resource. At the moment, it is a trial website but it contains basic components an art class requires: multimedia, exploration, gallery viewing.

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awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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Sarcasm_Detection_neuralnetwork

Neural Network DATA Learning_ unsupervised learning_sentiment analysis_sarcasm

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clearml

ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

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computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

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CourseraMachineLearning

Coursera Machine Learning By Prof. Andrew Ng

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fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

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Gracetyty

Config files for my GitHub profile.

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How-to-mine-newsfeed-data-and-extract-interactive-insights-in-Python

A practical guide to topic mining and interactive visualizations

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pcc_3e

Online resources for Python Crash Course, 3rd edition, from No Starch Press.

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python-seminar

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

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Python4Finance

I get many questions about how to analyze the Stock Market with Python. I am creating a new playlist of videos that will completely cover Python for Finance.

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text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

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visual-chatgpt

VisualChatGPT

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