【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

A Curated List of Must-read Papers on Recommender System.

repository for "Adaptive Disentangled Transformer for Sequential Recommendation"

WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"

Pytorch implementation of BERT4Rec and Netflix VAE.

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

This Github repository summarizes a list of research papers on AI security from the four top academic conferences.

Recommender System Papers

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

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.

Ultralytics YOLO11 🚀

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors