Pinned 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.
ASR-sentiment-detection
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
btc-bot
clearml
ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
comprehensive-rust
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
CourseraMachineLearning
Coursera Machine Learning By Prof. Andrew Ng
Digital_Edu_Text_Mining
text mining
Sarcasm_Detection_neuralnetwork
Neural Network _ _sentiment analysis_sarcasm
Gracetyty's Repositories
Gracetyty/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.
Gracetyty/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Gracetyty/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
Gracetyty/Sarcasm_Detection_neuralnetwork
Neural Network _ _sentiment analysis_sarcasm
Gracetyty/ASR-sentiment-detection
Gracetyty/btc-bot
Gracetyty/clearml
ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
Gracetyty/comprehensive-rust
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
Gracetyty/CourseraMachineLearning
Coursera Machine Learning By Prof. Andrew Ng
Gracetyty/Digital_Edu_Text_Mining
text mining
Gracetyty/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
Gracetyty/Gracetyty
Config files for my GitHub profile.
Gracetyty/How-to-mine-newsfeed-data-and-extract-interactive-insights-in-Python
A practical guide to topic mining and interactive visualizations
Gracetyty/pcc_3e
Online resources for Python Crash Course, 3rd edition, from No Starch Press.
Gracetyty/python-seminar
Python for Data Science (Seminar Course at UC Berkeley; AY 250)
Gracetyty/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.
Gracetyty/Simultaneous-NMT_Fusion_Detection_Language_Model
Gracetyty/text-to-text-transfer-transformer
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
Gracetyty/visual-chatgpt
VisualChatGPT