nlp-1-spacy-studies

How to implement a streaming at scale solution in Azure

Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类

? Easily create chat bots for Twitch.tv

Autonomous driving trajectory planning solution for U-Turn scenario

Simple demo implementation of Lambda and Kappa architectures using Python, Docker, Kafka, Spark and Cassandra

Asynchronous Server App Boilerplate (ASAB) is a micro-service framework for Python 3 and asyncio.

Linear discriminant Analysis(LDA) for Wine Dataset of Machine Learning

PCA(Principle Component Analysis) For Seed Dataset in Machine Learning

Natural Language Processing (classification and machine translation) codes and analysis done for the year long practicum in Dublin City University (2019-20)

This notebook explores using the SpaCy Chinese model to tokenize and analyze parts of speech for a short Buddhist text. Mistakes in the tags were corrected by hand to train an improved model for Pre-Modern Literary Chinese Texts. It was built with Pandas, SpaCy, and Xiaoquan Kong's Chinese SpaCy model. It implements a Part of Speech tagger and visualizations using diSplaCy.