PepsiC0

PepsiC0's Stars

• j1o2h3n/DDSTGCN

  Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction

  Language:Python387

• THU-MIG/yolov10

  YOLOv10: Real-Time End-to-End Object Detection

  Language:Python8.5k738

• shuzijun/leetcode-editor

  Do Leetcode exercises in IDE, support leetcode.com and leetcode-cn.com, to meet the basic needs of doing exercises.Support theoretically: IntelliJ IDEA PhpStorm WebStorm PyCharm RubyMine AppCode CLion GoLand DataGrip Rider MPS Android Studio

  Language:Java3.7k400

• MoRan1607/BigDataGuide

  大数据学习，从零开始学习大数据，包含大数据学习各阶段学习视频、面试资料

  Language:Java2.6k854

• yangzongzhuan/RuoYi

  :tada: (RuoYi)官方仓库 基于SpringBoot的权限管理系统 易读易懂、界面简洁美观。 核心技术采用Spring、MyBatis、Shiro没有任何其它重度依赖。直接运行即可用

  Language:HTML5.7k1.7k

• YunaiV/ruoyi-vue-pro

  🔥 官方推荐 🔥 RuoYi-Vue 全新 Pro 版本，优化重构所有功能。基于 Spring Boot + MyBatis Plus + Vue & Element 实现的后台管理系统 + 微信小程序，支持 RBAC 动态权限、数据权限、SaaS 多租户、Flowable 工作流、三方登录、支付、短信、商城、CRM、ERP、AI 大模型等功能。你的 ⭐️ Star ⭐️，是作者生发的动力！

  Language:Java25.9k5.4k

• liuwj2000/PVCGN

  code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"

  5

• gjy3035/Awesome-Crowd-Counting

  Awesome Crowd Counting

  2.3k469

• Coolgiserz/Awesome-Traffic-Prediction

  Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.

  12127

• Alro10/deep-learning-time-series

  List of papers, code and experiments using deep learning for time series forecasting

  Language:Jupyter Notebook2.5k521

• wumingyao/ADST

  Language:Python75

• JingqingZ/BaiduTraffic

  This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).

  Language:Python22279

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python11.9k988

• tch0/notes

  Personal CS notes, record some introductory contents and common sense in CS/SE, mostly C++.

  259158

• AILab-CVC/YOLO-World

  [CVPR 2024] Real-Time Open-Vocabulary Object Detection

  Language:Python4k389

• WongKinYiu/yolov9

  Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

  Language:Python8.6k1.3k

• OrigamiSL/GBT

  Source code of paper: GBT: Two-stage Transformer Framework for Non-stationary Time Series Forecasting.

  Language:Python333

• huogy/HSTGCNT

  Language:Python111

• IsamAljawarneh/Traffic_Flow_Prediction

  Here we use 'traffic speed change over time' dataset and apply Historical Arima(HA) ARIMA and SVR algorithms to predict future traffic data

  31

• imethanlee/Traffic-Flow-Baseline

  [This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA, VAR, SVR, FNN, FC-LSTM)

  Language:Python184

• angeliababy/passenger_forecast

  客流预测、Resnet

  Language:Python164

• Pengxin-Guo/ADCSD

  Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting

  Language:Python51

• HaoUNSW/PISA

  Language:Python10616

• facebookresearch/audio2photoreal

  Code and dataset for photorealistic Codec Avatars driven from audio

  Language:Python2.6k245

• DaoSword/Time-Series-Forecasting-and-Deep-Learning

  Resources about time series forecasting and deep learning.

  48445

• SJTU-Quant/MASTER

  This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. MASTER is a stock transformer for stock price forecasting, which models the momentary and cross-time stock correlation and guide feature selection with market information.

  Language:Python13527

• nzl5116190/Basisformer

  This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis]

  Language:Python668

• Yanjun-Zhao/GCformer

  Language:Python435

• thuml/Corrformer

  About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, 2023. https://www.nature.com/articles/s42256-023-00667-9

  Language:Python15224

• daxin007/Client

  Language:Jupyter Notebook337