53 lines
8.1 KiB
Markdown
53 lines
8.1 KiB
Markdown
<a href="https://github.com/GrowingGit/GitHub-Chinese-Top-Charts#github中文排行榜">返回目录</a> • <a href="/content/docs/feedback.md">问题反馈</a>
|
||
|
||
# 中文新秀榜 > 资料类 > Jupyter Notebook
|
||
<sub>数据更新: 2024-10-12 / 温馨提示：中文项目泛指「文档母语为中文」OR「含有中文翻译」的项目，通常在项目的「readme/wiki/官网」可以找到</sub>
|
||
|
||
|#|Repository|Description|Stars|Updated|Created|
|
||
|:-|:-|:-|:-|:-|:-|
|
||
|1|[datawhalechina/self-llm](https://github.com/datawhalechina/self-llm)|《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合中国宝宝的部署教程|8342|2024-09-29|2023-11-16|
|
||
|2|[01-ai/Yi](https://github.com/01-ai/Yi)|A series of large language models trained from scratch by developers @01-ai|7625|2024-09-23|2023-11-03|
|
||
|3|[datawhalechina/llm-universe](https://github.com/datawhalechina/llm-universe)|本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/|4533|2024-09-22|2023-10-29|
|
||
|4|[microsoft/Phi-3CookBook](https://github.com/microsoft/Phi-3CookBook)|This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open sourced AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) ...|2329|2024-10-10|2024-05-07|
|
||
|5|[YangLing0818/RPG-DiffusionMaster](https://github.com/YangLing0818/RPG-DiffusionMaster)|[ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (RPG)|1667|2024-10-10|2024-01-22|
|
||
|6|[huggingface/cookbook](https://github.com/huggingface/cookbook)|Open-source AI cookbook|1632|2024-10-07|2023-11-24|
|
||
|7|[Kedreamix/Linly-Dubbing](https://github.com/Kedreamix/Linly-Dubbing)|智能视频多语言AI配音/翻译工具 - Linly-Dubbing — “AI赋能，语言无界”|1618|2024-08-23|2024-08-08|
|
||
|8|[WTFAcademy/WTF-zk](https://github.com/WTFAcademy/WTF-zk)|零知识证明入门教程。Comprehensive Zero-Knowledge Proofs Tutorial. #zk #WIP|1573|2024-10-02|2023-11-29|
|
||
|9|[MetaGLM/glm-cookbook](https://github.com/MetaGLM/glm-cookbook)|Examples and guides for using the GLM APIs|746|2024-10-11|2024-01-22|
|
||
|10|[wdndev/llama3-from-scratch-zh](https://github.com/wdndev/llama3-from-scratch-zh)|从零实现一个 llama3 中文版|486|2024-06-12|2024-05-23|
|
||
|11|[DjangoPeng/LLM-quickstart](https://github.com/DjangoPeng/LLM-quickstart)|Quick Start for Large Language Models (Theoretical Learning and Practical Fine-tuning) 大语言模型快速入门（理论学习与微调实战）|481|2024-08-27|2023-12-11|
|
||
|12|[charent/Phi2-mini-Chinese](https://github.com/charent/Phi2-mini-Chinese)|Phi2-Chinese-0.2B 从0开始训练自己的Phi2中文小模型，支持接入langchain加载本地知识库做检索增强生成RAG。Training your own Phi2 small chat model from scratch.|471|2024-07-11|2023-12-22|
|
||
|13|[libukai/Awesome-ChatTTS](https://github.com/libukai/Awesome-ChatTTS)|官方推荐的 ChatTTS 最佳入门指南，整理和汇总了常见问题和相关资源|339|2024-06-19|2024-06-05|
|
||
|14|[aceliuchanghong/FAQ_Of_LLM_Interview](https://github.com/aceliuchanghong/FAQ_Of_LLM_Interview)|大模型算法岗面试题(含答案):常见问题和概念解析 "大模型面试题"、"算法岗面试"、"面试常见问题"、"大模型算法面试"、"大模型应用基础"|234|2024-10-07|2024-03-13|
|
||
|15|[WengLean/hands-on-research-tutorial](https://github.com/WengLean/hands-on-research-tutorial)|《动手做科研》面向科研初学者，一步一步地展示如何入门人工智能科研|219|2024-09-22|2024-05-07|
|
||
|16|[huangjia2019/ai-agents](https://github.com/huangjia2019/ai-agents)|异步图书 《大模型应用开发 动手做AI Agent》 - 这是一些非常简单的入门示例，重在引导新手入门，目前LLM开发领域发展很快，本书只是一个提纲挈领。更多的示例和代码大家可以去OpenAI Cookbook, LangChain Example中去挖掘。|168|2024-10-10|2024-05-10|
|
||
|17|[GenTang/regression2chatgpt](https://github.com/GenTang/regression2chatgpt)|《解构大语言模型：从线性回归到通用人工智能》配套代码|134|2024-10-09|2023-12-07|
|
||
|18|[HEUOpenResource/heu-icicles](https://github.com/HEUOpenResource/heu-icicles)|哈尔滨工程大学课程攻略共享计划|133|2024-09-02|2024-04-13|
|
||
|19|[Mxoder/LLM-from-scratch](https://github.com/Mxoder/LLM-from-scratch)|一些 LLM 方面的从零复现笔记|121|2024-09-20|2024-04-29|
|
||
|20|[princepride/scratch-pytorch-step-by-step](https://github.com/princepride/scratch-pytorch-step-by-step)|教你只用最基本的python语法和numpy一步步实现深度学习框架|119|2024-08-02|2024-01-02|
|
||
|21|[solidglue/Machine_Learning_Sklearn_Examples](https://github.com/solidglue/Machine_Learning_Sklearn_Examples)|机器学习Sklearn入门指南。Machine Learning Sklearn API and Examples with Python3 and Jupyter Notebook.|109|2024-05-20|2024-02-28|
|
||
|22|[solidglue/Deep_Learning_TensorFlow2_Examples](https://github.com/solidglue/Deep_Learning_TensorFlow2_Examples)|深度学习TensorFlow2入门指南。Deep Learning TensorFlow2 API and Examples with Python3 and Jupyter Notebook.|98|2024-05-20|2024-02-27|
|
||
|23|[wyf3/llm_related](https://github.com/wyf3/llm_related)|记录大模型相关的一些知识和方法|91|2024-09-08|2024-08-04|
|
||
|24|[XiaShan1227/GNN-Tutorial](https://github.com/XiaShan1227/GNN-Tutorial)|B站GNN教程资料|88|2024-09-05|2024-01-14|
|
||
|25|[cfcys/nanoGPT-Tutorial-CN](https://github.com/cfcys/nanoGPT-Tutorial-CN)|更友好的nanoGPT的中文教程|87|2024-05-17|2024-04-22|
|
||
|26|[qianniucity/llm_notebooks](https://github.com/qianniucity/llm_notebooks)|AI 应用示例合集|66|2024-06-03|2024-04-25|
|
||
|27|[datawhalechina/zishu](https://github.com/datawhalechina/zishu)|wow-fullstack，令人惊叹的全栈开发教程|63|2024-07-06|2023-12-28|
|
||
|28|[RealKai42/langchainjs-juejin](https://github.com/RealKai42/langchainjs-juejin)|从前端到 AI：langchain.js 入门和实战|51|2024-05-17|2024-04-25|
|
||
|29|[Zenobia000/DeepLearning-ds-fundamental](https://github.com/Zenobia000/DeepLearning-ds-fundamental)|深度學習理論程式大全|37|2024-07-25|2024-02-03|
|
||
|30|[luhengshiwo/LLMForEverybody](https://github.com/luhengshiwo/LLMForEverybody)|每个人都能看懂的大模型知识分享，LLMs秋招大模型面试前必看，让你和面试官侃侃而谈|35|2024-10-10|2024-08-05|
|
||
|31|[tj-messi/cv-computer-visual-tj](https://github.com/tj-messi/cv-computer-visual-tj)|同济大学计算机视觉实验室学习|35|2024-10-11|2024-08-03|
|
||
|32|[minsixhao/bilibil_summarize](https://github.com/minsixhao/bilibil_summarize)|B站(Bilibili)视频 AI总结摘要|34|2024-09-05|2024-02-25|
|
||
|33|[GISer2000/daily_learning](https://github.com/GISer2000/daily_learning)|分享代码写作日常|33|2024-10-01|2024-09-21|
|
||
|34|[datawhalechina/hugging-audio](https://github.com/datawhalechina/hugging-audio)|Hugging Face Audio Course中文版，帮助学习者快速入门音频模态|29|2024-05-25|2023-12-18|
|
||
|35|[DiqiangL/bat_code](https://github.com/DiqiangL/bat_code)|字节笔试、腾讯笔试、阿里笔试、美团笔试、拼多多笔试、蚂蚁金服笔试、百度笔试、网易笔试、华为笔试、荣耀笔试、oppo笔试、小米笔试、小红书笔试、bilibili笔试、米哈游笔试、携程笔试、快手笔试、大疆笔试、滴滴笔试、得物笔试、科大讯飞笔试、shein笔试、招商银行笔试、深信服笔试、用友笔试、顺丰笔试、微众银行笔试、奇安信笔试、联想笔试、58同城笔试、图森未来笔试、富途笔试、去哪儿笔试、蔚来笔试、茄 ...|28|2024-09-06|2024-03-20|
|
||
|36|[aidoczh/langchain-doc-zh](https://github.com/aidoczh/langchain-doc-zh)|LangChain V0.2 官网文档中文翻译|25|2024-06-01|2024-05-27|
|
||
|
||
<div align="center">
|
||
<p><sub>↓ -- 感谢读者 -- ↓</sub></p>
|
||
榜单持续更新，如有帮助请加星收藏，方便后续浏览，感谢你的支持！
|
||
</div>
|
||
|
||
<br/>
|
||
|
||
<div align="center"><a href="https://github.com/GrowingGit/GitHub-Chinese-Top-Charts#github中文排行榜">返回目录</a> • <a href="/content/docs/feedback.md">问题反馈</a></div>
|