Stars
Full-stack framework for building Multi-Agent Systems with memory, knowledge and reasoning.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
🔥 将 public-apis 项目翻译为中文版，并收集添加国内常用 API，欢迎大家点赞 🌟 和贡献一行好用的 API，让这个项目成为中文版的免费 API 大全。
🔥🔥🔥从零使用pytorch构建电影推荐系统，基于MovieLens数据集，实现了多种召回排序相关模型：DSSM、CF、MF、DeepWalk、Item2Vec，LR、Wide&Deep、DeepFM、DCNv1、DCNv2、DIN、MMoE、PLE。欢迎大家进行star🌟以及批评指正。
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Sequential deep matching model for recommender system at Alibaba
MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.
PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero
PDF2zh for Zotero | Zotero PDF中文翻译插件
DeepSeek LLM: Let there be answers
Now we have become very big, Different from the original idea. Collect premium software in various categories.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Impementation paper "Deep Neural Networks for YouTube Recommendations"
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.
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 list of awesome papers and resources of recommender system on large language model (LLM).
We write your reusable computer vision tools. 💜
Official implementation of SAM-Med2D
Multimodal Large Language Models for Remote Sensing (RS-MLLMs): A Survey