Chris Cui

Annotated-Transformer-English-to-Chinese-Translator. An "annotated" version of the Transformer Paper in the form of a line-by-line implementation to build an English-to-Chinese translator.

Deep-Learning-for-Oracle-Bone-Script-Recognition. A short description of the project. This Repository will demonstrate using Pytorch to build deep convolutional neural networks and use Qt to create the GUI with the pre-trained model.

aerial-image-segmentation. Aerial Image segmentation by PyTorch

split_raster. Split Raster is an open-source and highly versatile Python package designed to easily break down large images into smaller, more manageable tiles. While the package is particularly useful for deep learning and computer vision tasks, it can be applied to a wide range of applications.

fast_neural_style. This repository contains a PyTorch implementation of an algorithm for artistic style transfer. The algorithm can be used to mix the content of an image with the style of another image. For example, here is a photograph of a door arch rendered in the style of a stained glass painting.

detectron2app. Street View Image Segmentation with PyTorch and Facebook Dectectron2 (CPU+GPU)

aws_nyc_taxi_analysis. New York City Taxi and Limousine Commission (TLC) Trip Record Data Analysis

coursera-deeplearning-specialization. Coursera Deep Learning Specialization and Supporting Books.

time-series-forecasting. Forecasting time series data with MLP by Google TensorFlow.

GuestLecturePublic. This is public repository aiming to share the lecture notes for the public.

Data_Science_Python. Lab-Notebook on Python for Data Science (PyTorch, Keras and TensorFlow)

Unet_RSimage_Multi-band_Multi-class. Jupyter Notebook

tech-review-deploy-python-service-to-gcp. How to deploy a simple Python Flask web application to GCP App Engine and Cloud Run.

2048-Game-by-GenAI. JavaScript

Enigma-Mission-X. Enigma – Mission X Challenge

ElegantBook-Public-Chapters. TeX

machine_learning_scientist_excalidraw. Jupyter Notebook

Smart-Stock-Screener-Framework-on-Google-Cloud-Public. Makefile

AutoGluonPractice. Jupyter Notebook

dbt-tutorial. dbt-tutorial

Learn-ML-From-Example. Jupyter Notebook

tauri-app. CSS

netlify-feature-tour. Astro

next-netlify-starter. JavaScript

learn-spark. Scala

lending_bank_client_ranking. HTML

pytorch-model-study. Jupyter Notebook

kaggle-us-patent-phrase-to-phrase-matching. Jupyter Notebook

QGIS-plugin-development. HTML

image_segmentation_tensorflow. Python

aerial-image-converter. Python

py-downloader-app. Build a powerful python based downloader app.

ML-Net-Applications. Train and use your first machine learning model with ML.NET. An app that can predict whether the text from customer reviews is negative or positive sentiment.

Qt-FBS-Python-App. This tutorial shows how you can use fbs to create a simple Python GUI and an associated installer.

google-it-automation-with-python. Google IT Automation with Python Professional Certificate Learning Notes

Google_Coursera_Troubleshooting_Debugging_Techniques_Issues. Python

sentiment_analysis_of_twitter. Perform Sentiment Analysis in Python 3 Using the Natural Language Toolkit (NLTK)

topic_modelling. NLP: topic modelling demo and practice

learning_turi_create--movie-recommender-sytems. Recommender systems A recommender system allows you to provide personalized recommendations to users. With this toolkit, you can create a model based on past interaction data and use that model to make recommendations.

image_segmentation_pytorch. Solving image segmentation task by building a convolutional neural network (UNet) to output a pixel-wise mask of the input image.

bash_scripting_tutorial. This repo is intended to give you a solid foundation in how to write Bash scripts, to get the computer to do complex, repetitive tasks for you.

cuicaihao.

ocr_with_tesseract_opencv_and_python. A comprehensive guide to OCR with Tesseract, OpenCV and Python.

Learning_React_App_Vidly. Learing React Practice Records with Mosh on line.

autogluon-kaggle-titanic. This repo is designed to show the basic function of AutoGluon and Kaggle API for your Machine Learning and Data Science Practices with the Titanic dataset.

Image-captioning-with-visual-attention. Tensorflow: Image captioning with visual attention

MNIST_TF_GUI. Demonstrate training, testing, and retraining ML/DL models with TensorFlow and Keras with an extra GUI by Qt5

cuicaihao.github.io.

GitReview. Review the main Git Operations.

cookiecutter-demo. Test the basic function of cookiecutter.

turicreate-tutorial. Practice the the Apple Turi Create.

kedro_demo. Practice kedro data science framework.

mlflow-demo. Learning and Practice the mlflow

python_progressbar_design. a collection of progressbar scripts in python

OpenCV_Python_Tutorials. Learning openCV

genai-text-replacements-for-macos. Python

XGBoost-demo. [draft version]: practice code and bugs/issues solutions gathering.