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程序员应该访问的最佳网站中文版
图解计算机网络、操作系统、计算机组成、数据库,共 1000 张图 + 50 万字,破除晦涩难懂的计算机基础知识,让天下没有难懂的八股文!🚀 在线阅读:https://xiaolincoding.com
🤱🏻 Turn any webpage into a desktop app with one command. 一键打包网页生成轻量桌面应用
A PyTorch implementation of the Transformer model in "Attention is All You Need".
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
An open-source educational chat model from ICALK, East China Normal University. 开源中英教育对话大模型。(通用基座模型,GPU部署,数据清理) 致敬: LLaMA, MOSS, BELLE, Ziya, vLLM
A Javascript AI getting started stack for weekend projects, including image/text models, vector stores, auth, and deployment configs
GPT4 & LangChain Chatbot for large PDF, docx, pptx, csv, txt, html docs, powered by ChromaDB and ChatGPT.
A repository of useful research/skill-upgrading talks or acticles in NLP/CV/AI Area (in Chinese).
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.
Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草(原名:华驼)模型仓库,基于中文医学知识的大语言模型指令微调
An Open-Source Package for Knowledge Embedding (KE)
🦄️ 🎃 👻 Clash Premium 规则集(RULE-SET),兼容 ClashX Pro、Clash for Windows 等基于 Clash Premium 内核的客户端。
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
A complete computer science study plan to become a software engineer.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Master programming by recreating your favorite technologies from scratch.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
😎 Awesome lists about all kinds of interesting topics
Paper collection for graph based models in finance application
《剑指Offer:名企面试官精讲典型编程面试题》第二版源代码
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Python Data Science Handbook: full text in Jupyter Notebooks