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nana1223's Projects

community icon community

一个仿照牛客网实现的讨论社区,不仅实现了基本的注册,登录,发帖,评论,点赞,回复功能,同时使用前缀树实现敏感词过滤,使用wkhtmltopdf生成长图和pdf,实现网站UV和DAU统计,并将用户头像等信息存于七牛云服务器。

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

github-chinese-top-charts icon github-chinese-top-charts

:cn: GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。

gnn4traffic icon gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

interest icon interest

Vue+Spring boot前后端分离项目(wh-web+wh-server的升级版)

it_book icon it_book

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)

java-interview icon java-interview

「Java面试小抄」一份通向理想互联网公司的面试汇总,包括 Java基础、Java并发、JVM、MySQL、Redis、Spring、MyBatis、Kafka、计算机操作系统、计算机网络、系统设计、分布式、Java 项目实战等

javaguide icon javaguide

「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。

maml-pytorch icon maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mydb icon mydb

一个简单的数据库实现

nblog icon nblog

🍓 Spring Boot + Vue 前后端分离博客系统 https://naccl.top

novel icon novel

novel 是一套基于时下最新 Java 技术栈 Spring Boot 3 + Vue 3 开发的前后端分离学习型小说项目,配备保姆级教程手把手教你从零开始开发上线一套生产级别的 Java 系统,由小说门户系统、作家后台管理系统、平台后台管理系统等多个子系统构成。包括小说推荐、作品检索、小说排行榜、小说阅读、小说评论、会员中心、作家专区、充值订阅、新闻发布等功能。

nyc-dataset icon nyc-dataset

Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data

orientedreppoints icon orientedreppoints

The code for “Oriented RepPoints for Aerial Object Detection (CVPR 2022)”

pytorch-auto-drive icon pytorch-auto-drive

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

st-mgcn icon st-mgcn

[AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)

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