joshxinjie

Data_Engineering_Nanodegree

fend_capstone

fend_p3

yolact_tf

Front_End_Nanodegree

NLP_Nanodegree

clean-code-ml

:bathtub: Clean Code concepts adapted for machine learning and data science

course-JS-and-the-DOM

course-v3

The 3rd edition of course.fast.ai

fastapi-celery

Example of how to handle background processes with FastAPI, Celery, and Docker

fend-webpack-content

Webpack Content in the Front End Developer Nanodegree program

fend-webpack-sass

Webpack & Sass in the Front End Developer Nanodegree program

fend_p1

fend_p2

fend_p4

fsnd_capstone

fsnd_heroku_sample

fsnd_p1

fsnd_p2

fsnd_p3

fsnd_p4

full_stack_nanodegree

fullstack-nanodegree

Udacity Full Stack Nanodegree Projects

mlops-on-gcp

NLP-sentiment-analysis-app

Udacity FEND project 4 - Sentiment analysis app using Natural Language Processing API by meaningCloud

predict-customer-churn-wth-clean-code

For project 1 of Udacity ML DevOps Nanodegree

projects

Tensorflow-YOLACT

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2.0

Udacity-Full-Stack-Developer-Nanodegree

Portfolio of Projects from the FSND

yolact

A simple, fully convolutional model for real-time instance segmentation.