fountain-y

fountain-y's Stars

• huan-yp/Auto-WSGR

  战舰少女R全家桶

  Language:Python9415

• poooi/poi

  Scalable KanColle browser and tool.

  Language:JavaScript1.7k344

• qiaoliangxiang/cfa

  FRM & CFA study notes

  23365

• lfy79001/TableQAKit

  A Toolkit for Table-based Question Answering

  Language:Python954

• chatchat-space/Langchain-Chatchat

  Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  Language:TypeScript31.4k5.5k

• hiyouga/ChatGLM-Efficient-Tuning

  Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调

  Language:Python3.6k471

• THUDM/ChatGLM2-6B

  ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

  Language:Python15.7k1.9k

• huihut/interview

  📚 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, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

  Language:C++34.6k8k

• Timothyxxx/Chain-of-ThoughtsPapers

  A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

  1.9k129

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX48k4.7k

• cosen1024/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

  2.3k537

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook46.9k5.6k

• alibaba/nann

  A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.

  Language:C++14819

• infstellar/genshin_impact_assistant

  原神小助手 Genshin Assistant (CN/EN) | 自动战斗,秘境,领日常,半自动委托

  Language:Python2.7k221

• billryan/resume

  An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

  Language:TeX9.2k2.6k

• koishijs/novelai-bot

  Generate images by NovelAI | 基于 NovelAI 的画图机器人

  Language:TypeScript2.5k204

• zhayujie/chatgpt-on-wechat

  基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

  Language:Python30.2k8k

• SnapdragonLee/ChatGPT-weBot

  Chat with ChatGPT (gpt-3.5 or newer)，WeChat hook interface based

  Language:Python657120

• JD-AI-Research-NLP/MuGER2

  Language:Python8

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python140k26.6k

• tangxyw/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.

  Language:Python1.2k195

• guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

  Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

  Language:Python1.4k222

• yechens/NL2SQL

  Text2SQL 语义解析数据集、解决方案、paper资源整合项目

  1.1k153

• XiangLi1999/Diffusion-LM

  Diffusion-LM

  Language:Python1k136

• NExTplusplus/TAT-QA

  TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.

  Language:Python9022

• PonderLY/PC-GNN

  (WWW 2021) Source code of PC-GNN

  Language:Python9621

• Tony-Tan/CUDA_Freshman

  Language:Cuda2.1k429

• SeanLi-OI/AI-Computing-System-Lab

  智能计算系统 实验部分

  Language:C++14967

• Boris-code/feapder

  🚀🚀🚀feapder is an easy to use, powerful crawler framework | feapder是一款上手简单，功能强大的Python爬虫框架。内置AirSpider、Spider、TaskSpider、BatchSpider四种爬虫解决不同场景的需求。且支持断点续爬、监控报警、浏览器渲染、海量数据去重等功能。更有功能强大的爬虫管理系统feaplat为其提供方便的部署及调度

  Language:Python2.9k479

• LuoXukun/AI-homework

  智能计算系统作业

  Language:C13639