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🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）
Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"
《动手学大模型Dive into LLMs》系列编程实践教程
🧑🚀 全世界最好的LLM资料总结（语音视频生成、Agent、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
算法岗笔试面试大全，励志做算法届的《五年高考，三年模拟》！
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star
Unleash Next-Level AI! 🚀 💻 Code Generation: DeepSeek r1 + Claude 3.7 Sonnet - Unparalleled Performance! 📝 Content Creation: DeepSeek r1 + Gemini 2.5 Pro - Superior Quality! 🔌 OpenAI-Compatible. 🌊 S…
A concise but complete full-attention transformer with a set of promising experimental features from various papers
⛽️「算法通关手册」：从零开始的「算法与数据结构」学习教程，200 道「算法面试热门题目」，1000+ 道「LeetCode 题目解析」，持续更新中！
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
chinese translation of llm-course
A summary of all lucidrains repositores and links to training / research approaches by LAION or other communities.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
[CHABCNet] ABCNet on the Chinese dataset, building on Detectron2 (Facebook AI Research)
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
快速入门CMake,通过例程学习语法。在线阅读地址：https://sfumecjf.github.io/cmake-examples-Chinese/
A Tree-Structured Decoder for Image-to-Markup Generation
Interview Questions for Google, Amazon, Apple, etc. 根据超过 2000 篇真实面经整理的腾讯，阿里，字节跳动，Shopee，美团，滴滴高频面试题
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Recognize tables from images and restore them into word.