Alternatives and similar repositories for OpenCity

Users that are interested in OpenCity are comparing it to the libraries listed below

• HKUDS / FlashST
  [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
  ☆79Updated 9 months ago
• HKUDS / GPT-ST
  [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
  ☆79Updated last year
• tsinghua-fib-lab / UniST
  Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)
  ☆184Updated 5 months ago
• ChenxiLiu-HNU / ST-LLM
  Official implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"
  ☆94Updated 3 weeks ago
• usail-hkust / UUKG
  UUKG: Unified Urban Knowledge Graph Dataset for Knowledge-Enhanced Urban Spatiotemporal Prediction
  ☆100Updated last month
• yoshall / Awesome-Multimodal-Urban-Computing
  A professional list on Multi-modal Data Fusion Models and Key Datasets for Urban Computing.
  ☆146Updated 6 months ago
• HKUDS / AutoST
  [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
  ☆65Updated last year
• Wangjw6 / LLMob
  LLMob is an intuitive framework that builds reasoning logic for LLMs in the context of personal activity trajectory generation.
  ☆52Updated 3 weeks ago
• cruiseresearchgroup / AuxMobLCast
  ☆21Updated 2 years ago
• LMissher / PatchSTG
  [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
  ☆47Updated 6 months ago
• aptx1231 / START
  [ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics…
  ☆82Updated last year
• aptx1231 / Awesome-Spatio-Temporal-Representation-Learning
  Summary of Spatio-Temporal Representation Learning Models.
  ☆73Updated 2 years ago
• Logan-Lin / UniTE
  Source code for the UniTE pipeline.
  ☆23Updated 3 months ago
• tsinghua-fib-lab / GPD
  The official implementation of the ICLR 24 submission entitled "Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation…
  ☆55Updated last year
• HKUDS / GraphST
  [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
  ☆54Updated 6 months ago
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆69Updated 11 months ago
• usail-hkust / BigST
  ☆22Updated 8 months ago
• NickHan-cs / Spatio-Temporal-Data-Mining-Survey
  Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
  ☆130Updated 11 months ago
• xlwang233 / LLM-Mob
  Large Language Models as Human Mobility Predictors
  ☆51Updated 7 months ago
• liuxu77 / LargeST
  LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)
  ☆211Updated last year
• yuanhaitao / STHR_CODE
  ☆14Updated 3 years ago
• tsinghua-fib-lab / KSTDiff-Urban-flow-generation
  Official implementation of "Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion"(SIGSPATIAL'23)
  ☆24Updated last year
• yoshall / Awesome-Trajectory-Computing
  A professional list of Deep Learning and Large (Language) Models (LM, LLM, FM) for Trajectory Data Management and Mining.
  ☆215Updated last month
• tsinghua-fib-lab / OD_benckmark
  The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques
  ☆28Updated 2 years ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆119Updated last year
• chwang0721 / Trajectory-Data-Mining-Paper-Collection
  Paper Collection of Trajectory Data Mining
  ☆11Updated 2 weeks ago
• uctb / Urban-Dataset
  ☆24Updated 9 months ago
• YuanYuan98 / UrbanDiT
  ☆22Updated 8 months ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆55Updated 9 months ago
• zouguojian / Travel-time-prediction
  When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time
  ☆38Updated last month