Gzlzero's starred repositories
awesome-public-datasets
A topic-centric list of HQ open datasets.
ST-SSL_Dataset
The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".
subway-traffic-data-set
本数据集包括截止2020年12月31日**大陆已开通的地铁交通的城市: 北京、天津、上海、广州、长春、大连、武汉、重庆、深圳、南京、沈阳、成都、佛山、西安、苏州、昆明、杭州、哈尔滨、郑州、长沙、宁波、无锡、青岛、南昌、福州、东莞、南宁、合肥、石家庄、贵阳、厦门、乌鲁木齐、济南、兰州、常州、徐州、呼和浩特、太原; 站点数据和线路数据以shapefile形式提供; 本数据集为开源数据集,由于条件所限难免存在错误遗漏之处,欢迎各位批评指正,可将意见或建议发至:liangweidong@upagz.cn; 如有相关研究使用本数据集,请在研究成果中注明,谢谢!
Bigscity-LibCity
LibCity: An Open Library for Urban Spatial-temporal Data Mining
Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
coding-interview-university
A complete computer science study plan to become a software engineer.
traffic_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
DL-Traff-Graph
[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Graph Part)
DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
TrafficFlowPrediction
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
TrafficFlowPredictionResources
交通流量预测项目在研,以下是本人学习过程中积累整理的资源,会持续更新
awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.