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yannbai's Projects

k8s_awesome_document icon k8s_awesome_document

【2021年新鲜出炉】K8s(Kubernetes)的工程师资料合辑,书籍推荐,面试题,精选文章,开源项目,PPT,视频,大厂资料

kashgari icon kashgari

Simple, Keras-powered multilingual NLP framework, allows you to build your models in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS) and text classification tasks. Includes BERT, GPT-2 and word2vec embedding.

kcp icon kcp

KCP - A Fast and Reliable ARQ Protocol

keyword_extraction icon keyword_extraction

神策杯2018高校算法大师赛(中文关键词提取)第二名代码方案

kryo icon kryo

Java binary serialization and cloning: fast, efficient, automatic

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lightnlp icon lightnlp

基于Pytorch和torchtext的自然语言处理深度学习框架,包含序列标注、文本分类、句子关系、文本生成、结构分析、五大功能模块,已实现了命名实体识别、中文分词、词性标注、语义角色标注、情感分析、关系抽取、语言模型、文本相似度、文本蕴含、依存句法分析、词向量训练、聊天机器人、机器翻译、文本摘要等功能。框架功能丰富,开箱可用,极易上手!基本都是学习他人实现然后自己修改融合到框架中,没有细致调参,且有不少Bug~

lihang icon lihang

Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]

miaosha icon miaosha

⭐⭐⭐⭐秒杀系统设计与实现.互联网工程师进阶与分析🙋🐓

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mymq icon mymq

在学习RocketMQ过程中写的一个复刻版MQ

netty icon netty

Netty project - an event-driven asynchronous network application framework

netty-http-server icon netty-http-server

Springboot项目中使用Netty来替代传统Web容器,提升性能,简化配置

networkx icon networkx

Official NetworkX source code repository.

paascloud-master icon paascloud-master

spring cloud + vue + oAuth2.0全家桶实战,前后端分离模拟商城,完整的购物流程、后端运营平台,可以实现快速搭建企业级微服务项目。支持微信登录等三方登录。

parallel-sgd icon parallel-sgd

Parallel implementation of Stochastic Gradient Descent using SciKit-Learn library in Python.

pythonfunctions icon pythonfunctions

一些常用的功能型python模块接口,如:批量下载百度图片、moran指数(莫兰指数)、ARIMA、灰色预测GM(1,1)

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