lingy-qd

lingy-qd's Stars

• zhenql/TMCA

  Code For Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention

  Language:Python4017

• guocheng2025/Sequential-Recommendation-Datasets

  Download and preprocess popular sequential recommendation datasets

  Language:Python20326

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python22.1k3.8k

• dsj96/GEmodel-CIKM16-Reproduce

  本仓库是对CIKM16文章(Learning Graph-based POI Embedding for Location-based Recommendation)的复现

  3

• dsj96/PPR-master

  This is an implementation of the POI recommendation model-PPR.

  Language:Python95

• weizhangltt/dual-recommend

  Language:Python112

• wuch15/User-as-Graph

  Source codes for our IJCAI 2021 paper "User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation"

  Language:Jupyter Notebook172

• tanimutomo/gcmc

  Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)

  Language:Python15441

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python67.7k11.5k

• NLPWM-WHU/LSTPM

  Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin: Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. AAAI 2020 accepted.

  Language:Python6330

• d2l-ai/berkeley-stat-157

  Homepage for STAT 157 at UC Berkeley

  Language:Jupyter Notebook3.8k1.5k

• vonfeng/DeepMove

  [WWW 2018] DeepMove: Predicting Human Mobility with Attentional Recurrent Network

  Language:Python15156

• yongqyu/STRNN

  Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts

  Language:Python14163

• yingtaoluo/STGCN-POI-Recommendation

  Personalized spatio-temporal graph network for the next POI recommendation

  Language:Python358

• weiyinwei/GRCN

  Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback

  Language:Python286

• SleepyBag/Statistical-Learning-Methods

  Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现

  Language:Python1.2k280

• eXascaleInfolab/Flashback_code

  Language:Python4618

• fengdu78/Data-Science-Notes

  数据科学的笔记以及资料搜集

  Language:Jupyter Notebook8.3k3.1k

• yingtaoluo/Spatial-Temporal-Attention-Network-for-POI-Recommendation

  Codes for a WWW'21 Paper. POI recommender system for location/trajectory prediction.

  Language:Python17538

• google-research/vision_transformer

  Language:Jupyter Notebook11.1k1.4k

• pythonguis/pythonguis-examples

  Demo desktop apps built with Python & Qt. With examples for PyQt6, PySide6, PyQt5 & PySide2

  Language:Python4.3k1.1k

• 521xueweihan/HelloGitHub

  :octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

  Language:Python100k9.9k

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python22.2k3.2k

• dk-liang/Awesome-Visual-Transformer

  Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

  3.5k401

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML71.6k15.3k

• Z7Gao/Study-Notes

  Includes some random study notes and cheatsheets made / gathered by me.

  173

• lwxShawn/Fall-Detection

  老人跌倒检测app

  Language:Java7629

• csseky/cskaoyan

  提供计算机考研和软件工程考研专业的各个学校 考研真题

  9k1.6k

• mingliangzhang2018/AliProducts-Challenge

  In CVPR 2020 AliProducts Challenge: Large-scale Product Recognition, we got error rate 0.099 and ranked No.6. The model will get higher score if using deeper backbone, larger batch-size or larger resolution.

  Language:Python9120

• msight-tech/research-curriculumnet

  CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images

  Language:Python15834