Stars
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…
Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit
Some TrafficFlowForecasting Solutions(交通流量预测解决方案)
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Predict stock with LSTM supporting pytorch, keras and tensorflow
Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
2019年广西人工智能设计大赛:交通-地铁客流量预测Baseline(三等奖)
Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
北京邮电大学“网络搜索原理”课程资料(2019)
一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、微信读书、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )
python3网络爬虫笔记与实战源码。记录python爬虫学习全程笔记、参考资料和常见错误,约40个爬取实例与思路解析,涵盖urllib、requests、bs4、jsonpath、re、 pytesseract、PIL等常用库的使用。
100-Days-Of-ML-Code中文版