cuicaihao/fast_neural_style

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Created about 7 years ago
Updated almost 4 years ago

cuicaihao/fast_neural_style

cuicaihao

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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.

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.

Jupyter Notebook

aerial-image-segmentation

Aerial Image segmentation by PyTorch

Jupyter Notebook

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.

Jupyter Notebook

detectron2app

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

Jupyter Notebook

aws_nyc_taxi_analysis

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

Jupyter Notebook

coursera-deeplearning-specialization

Coursera Deep Learning Specialization and Supporting Books.

Jupyter Notebook

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.

Jupyter Notebook

time-series-forecasting

Forecasting time series data with MLP by Google TensorFlow.

Jupyter Notebook

Data_Science_Python

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

Jupyter Notebook

Unet_RSimage_Multi-band_Multi-class

Jupyter Notebook

AutoGluonPractice

Jupyter Notebook

lending_bank_client_ranking

image_segmentation_tensorflow

GitReview

Review the main Git Operations.

ocr_with_tesseract_opencv_and_python

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

Jupyter Notebook

mlflow-demo

Learning and Practice the mlflow

python_progressbar_design

a collection of progressbar scripts in python

turicreate-tutorial

Practice the the Apple Turi Create.

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.

kaggle-us-patent-phrase-to-phrase-matching

Jupyter Notebook

CCStockMining

StockMining Framework of CHINA

Image-captioning-with-visual-attention

Tensorflow: Image captioning with visual attention

Jupyter Notebook

OpenCV_Python_Tutorials

Learning openCV

topic_modelling

NLP: topic modelling demo and practice

Jupyter Notebook

tauri-app

cuicaihao

cookiecutter-demo

Test the basic function of cookiecutter.

Jupyter Notebook

sentiment_analysis_of_twitter

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

Jupyter Notebook

learn-spark

google-it-automation-with-python

Google IT Automation with Python Professional Certificate Learning Notes

Jupyter Notebook

pytorch-model-study

Jupyter Notebook

py-downloader-app

Build a powerful python based downloader app.

XGBoost-demo

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

Jupyter Notebook

cuicaihao.github.io

MNIST_TF_GUI

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

QGIS-plugin-development

Learn-ML-From-Example

Jupyter Notebook

Qt-FBS-Python-App

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

Google_Coursera_Troubleshooting_Debugging_Techniques_Issues

image_segmentation_pytorch

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

Jupyter Notebook

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.

ElegantBook-Public-Chapters

kedro_demo

Practice kedro data science framework.

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.

Jupyter Notebook

aerial-image-converter

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.

Jupyter Notebook

Learning_React_App_Vidly

Learing React Practice Records with Mosh on line.