4017147's repositories
Awesome-ChatGPT
🤖 Awesome ChatGPT 中文全指南 🤖这是一个ChatGPT相关的持续更新知识库。如果你对该领域保持着兴趣欢迎关注并运用该知识库!
fusionauth-jwt
A simple to use Java 8 JWT Library. Verify, Sign, Encode, Decode all day.
java-ddd-skeleton
♨️ DDD in Java skeleton & examples. Course:
layering-cache
为监控而生的分布式多级缓存框架
awesome-pretrained-chinese-nlp-models
Awesome Pretrained Chinese NLP Models,高质量中文预训练模型集合
DataStructuresAndAlgorithms
数据结构预算法
DataStructuresAndAlgorithms.
data structures and algorithms
DataX
DataX是阿里云DataWorks数据集成的开源版本。
disruptor-spring-boot-starter
starter for disruptor
funNLP
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料、中文谣言数据、百度中文问答数据集、句子相似度匹配算法集合、bert资源、文本生成&摘要相关工具、cocoNLP信息抽取工具、国内电话号码正则匹配、清华大学XLORE:中英文跨语言百科知识图谱、清华大学人工智能技术系列报
geekdemo
极客时间《手把手教你落地DDD》配套代码
IBM_CFC_2020_Hackathon-Exam_Evaluation_on_Air
POC to be able to conduct subjective examinations online. Configure the questions and the answer key and train the module for calculating the score.
iterm2-zmodem
Installing Z-Modem integration for iTerm2 with Homebrew
Java-Tutorial
【Java工程师面试复习指南】本仓库涵盖大部分Java程序员所需要掌握的核心知识,整合了互联网上的很多优质Java技术文章,力求打造为最完整最实用的Java开发者学习指南,如果对你有帮助,给个star告诉我吧,谢谢!
json-web-key-generator
A Java-based generator for JWK and JPSKs
Keep
日常学习
kontraktor
distributed Actors for Java 8 / JavaScript
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
multi-layering-cache
多级缓存框架-一级缓存caffeine 二级缓存redis
multi-tenant-jpa-repository
Multi tenant JPA Repository using Spring Boot and Hibernate
RocketMQDedupListener
RocketMQ消息幂等去重消费者,支持使用MySQL或者Redis做幂等表,开箱即用
springboot-mvc
springboot-mvc demo
styleguide
Style guides for Google-originated open-source projects
Video-ChatGPT
"Video-ChatGPT" is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.