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[AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".
微信公众号文章批量下载工具，支持图片、评论下载，支持保存html/mhtml/md/pdf/docx文件
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
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.
A browser extension for automating your browser by connecting blocks
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫 | 知乎问答文章｜评论爬虫
[🔥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
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
This is the notes of the way of machine learning study. You may find something useful in it.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
PyTorch Implementation of DARTS: Differentiable Architecture Search
TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset
该仓库尝试整理推荐系统领域的一些经典算法模型
【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容
MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。