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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Design patterns implemented in Java
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
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
12 Lessons to Get Started Building AI Agents
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
Free ChatGPT&DeepSeek API Key，免费ChatGPT&DeepSeek API。免费接入DeepSeek API和GPT4 API，支持 gpt | deepseek | claude | gemini | grok 等排名靠前的常用大模型。
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
OpenMMLab Detection Toolbox and Benchmark
A playbook for systematically maximizing the performance of deep learning models.
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
MiniCPM-o 4.5: A Gemini 2.5 Flash Level MLLM for Vision, Speech, and Full-Duplex Mulitmodal Live Streaming on Your Phone
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
🌈一个跨平台的划词翻译和OCR软件 | A cross-platform software for text translation and recognition.
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
llama3 implementation one matrix multiplication at a time
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
A vulnerability scanner for container images and filesystems