fengchuimailang Goto Github PK

awesome-python-webapp

小白的Python入门教程实战篇：网站+iOS App源码→ http://t.cn/zQXcs9S 赞助→ http://t.cn/R5bhVpf

awesome-spider

爬虫集合

chaos

A test framework for linearizability check with Go

crnn-tensorflow

datasciencelearningnotes

My own data science learning notes. It contains notes about python, machine leaning,data analysis etc.

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deepke

An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dkn

A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)

dl21

21个项目玩转深度学习———基于TensorFlow的实践详解练习

east

tensorflow version of EAST

electron-2048

2048 game building with electron

embedding-projector-standalone

gopup

数据接口：百度、谷歌、头条、微博指数,宏观数据，利率数据，货币汇率，千里马、独角兽公司，新闻联播文字稿，影视票房数据，高校名单，疫情数据…

grail

Inductive relation prediction by subgraph reasoning, ICML'20

learn_keras

learn_mindspore

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。

mall-app-web

mall-app-web是一个电商系统的移动端项目，基于uni-app实现。主要包括首页门户、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、帮助中心等功能。

mkr

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

muti-task-hctr

neuralkg

An Open Source Library for Diverse Representation Learning of Knowledge Graphs

openke

An Open-Source Package for Knowledge Embedding (KE)

persia

High performance distributed framework for training deep learning recommendation models based on PyTorch.

preparetowork

prepare skill to work

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

qtui

readbbooks_labuladong

labuladong的算法小抄读书笔记