hwf87 Goto Github PK

airflow-spark

Docker with Airflow and Spark standalone cluster

airflow-tutorials

「一段 Airflow 與資料工程的故事：談如何用 Python 追漫畫連載」一文的程式碼

bert_in_keras

在Keras下微调Bert的一些例子；some examples of bert in keras

bert_wwm

BERT Chinese pre-trained model

bilstm_for_nlp

cap-faq

The CAP FAQ

coding-interview-university

A complete computer science study plan to become a software engineer.

cryptocurrencyprediction

Predict Cryptocurrency Price with Deep Learning

data-science-interview-questions-answers

Curated list of data science interview questions and answers

dcard_crawler

Dcard data analysis project

dcard_elasticsearch

dcard_post_classification

deep-learning-mooc

這是我在政治大學開設 Deep Learning MOOC 教學的相關檔案。

demo-chinese-text-binary-classification-with-bert

demo-chinese-text-classification-lstm-keras

demo-fastbert-multi-label-classification

demo-multi-label-classification-bert

demo-text-binary-classification-with-bert

demo_traffic_jam_prediction

dropoutnet

Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"

fastapi-best-practices

FastAPI Best Practices and Conventions we used at our startup

fastbook

The fastai book, published as Jupyter Notebooks

full-blockchain-solidity-course-py

Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition

gnn-recsys

Graph Neural Networks for Recommender Systems

hwf-search-app

An app to demo search engine features

hwf-search-etl

This is a data scraping project that sources data from the Houzz e-commerce platform, the CNN YouTube channel, and the TedTalk official website. The implementation uses the Apache Beam framework to build an ETL pipeline and write the results into an Elasticsearch database. The final step visualizes the crawler results using Kibana.

hwf87

Config files for my GitHub profile.

hwf87.github.io

H.W. Fu Github Blogs

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

mall

mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。