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apache-tomcat

apache tomcat source code

arena

A CLI for Kubeflow.

coding_interviews

《剑指Offer》题目汇总&常考题总结(Python实现)

cpp-tutorial-samples

C++ tutorial code samples for those who want to start learning the language

cpython

The Python programming language

cs224n-assignment

斯坦福cs224n自然语言处理课程课后作业

delete_by_query

elasticsearch 2.4.1 delete_by_query plugin

dl_eventextractionpapers

2015年以来基于深度学习方法的事件抽取论文整理

docker-elasticsearch

Elasticsearch docker image containing our config, plugins, scripts, etc.

elasticsearch-5.4.0

elasticsearch source code

elasticsearch-definitive-guide

The Definitive Guide to Elasticsearch

faiss_note

faiss wiki in chinese.

fe4ml-zh

:book: [译] 面向机器学习的特征工程

hosts

:statue_of_liberty:最新可用的google hosts文件。国内镜像：

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

jdksourcecode1.8

Jdk1.8源码解析

knowledgegraphcourse

东南大学《知识图谱》研究生课程

langchain-chatchat

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain

lcrs

Java实现的推荐系统库

llama

Inference code for LLaMA models

llama-peft-lora-subreddit-chatbot-colab

Parameter Efficient Fine Tuning (PEFT) to create a chatbot from Facebook's LLaMA Large Language Model (LLM) on a public corpus (subreddit submissions and comments rearranged as chats).

matchpapers

Worth-reading papers and related awesome resources on matching task. 值得一读的匹配任务相关论文与资源集合

microservices

Microservices from Design to Deployment 中文版 《微服务：从设计到部署》

mimn

mongo

The MongoDB Database

pycorrector

pycorrector is a toolkit for text error correction. 文本纠错，Kenlm，ConvSeq2Seq，BERT，MacBERT，ELECTRA，ERNIE，Transformer，T5等模型实现，开箱即用。

recommendationsystem

推荐系统阅读过程各种相关知识整理

recsys_faiss

一个基于 fasttext + faiss 的商品内容相关推荐实现，nginx+uwsgi+flask / gunicorn+uvicorn+fastapi 提供api查询接口，附带商品详情页相关推荐效果图

recsys_spark

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，协同过滤

recsyspapers

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.