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每日文献智能体是一个可配置的自动论文检索与报告系统。它会从公开学术数据源抓取最新论文，去重、按你的研究方向评分，调用 OpenAI-compatible LLM 生成中文学术分析，输出 Markdown/HTML 报告，发送邮件，并用 SQLite 保存历史记录。
A curated, continuously updated reading list, paper blogs, and resources for World Action Models (WAMs) in embodied AI.
Limitlloss / revolution_history
Forked from PirateBook1/history文革史书单书籍存放库
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
欢迎来到电子书下载宝库，一个汇聚了各类电子书下载链接的地方。无论你是喜欢阅读经典文学、经管励志、终身学习、职场创业、技术手册还是其他类型的书籍，这里都能满足你的需求。 该库涵盖了帆书app(原樊登读书)、微信读书、京东读书、喜马拉雅等读书app的大部分电子书。
[TPAMI 2026] Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models
An Awesome List of the latest time series papers and code from top AI venues.
Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Commun…
Accelerate your WiFi CSI research progress by sharing and cooperation!
12 Lessons to Get Started Building AI Agents
Papers related to wireless large AI models and wireless foundation models.
[CVPR 2024] RCBEVDet: Radar-camera Fusion in Bird’s Eye View for 3D Object Detection
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
这个项目是一个Jupyter notebook的集合，专门用于学习和探索LangChain框架。
AI 一键出书 -by 云中江树 书生浦语大模型提示工程教程项目。 在线体验： https://book.apps.langgpt.ai/
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
A playbook for systematically maximizing the performance of deep learning models.