Gzlzero's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
labmlai/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, ... 🧠
NVIDIA/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.
awslabs/gluonts
Probabilistic time series modeling in Python
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
youngyangyang04/TechCPP
【C++面试&C++学习指南】 这里整理了C++后端研发工程师面试和工作必备的知识点 。
yuqinie98/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
lehaifeng/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
qingsongedu/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.
jwwthu/GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
LibCity/Bigscity-LibCity
LibCity: An Open Library for Urban Spatial-temporal Data Mining
lixus7/Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
GestaltCogTeam/BasicTS
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
xiaochus/TrafficFlowPrediction
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
aprbw/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).
TorchSpatiotemporal/tsl
tsl: a PyTorch library for processing spatiotemporal data.
xihao-1223/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
deepkashiwa20/DL-Traff-Graph
[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Graph Part)
Echo-Ji/ST-SSL
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
guokan987/HGCN
The code of AAAI2021 paper of HGCN for Traffic Forecasting
aptx1231/START
[ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).
HKUDS/GPT-ST
[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
ni1o1/plot_map
plot_map包提供了在matplotlib上绘制地图底图的功能
HKUDS/GraphST
[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
Somedaywilldo/AutoGCL
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)
GZUPA/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！
Echo-Ji/ST-SSL_Dataset
The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".
HunanUniversityZhuXiao/PrivateCarTrajectoryData
beginner-sketch/MoSSL
[IJCAI 2024] This it the official github for IJCAI24 paper "Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning"