Alternatives and similar repositories for Frigate

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

• wengwenchao123 / PM-DMNet
  [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
  ☆21Updated 3 weeks ago
• alvinzhaowei / GAMCN
  This is an implementation of a traffic speed predicition model.
  ☆10Updated 2 years ago
• trainingl / AFDGCN
  Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.
  ☆17Updated last year
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆55Updated 9 months ago
• RobinLu1209 / ST-GFSL
  ☆44Updated 2 years ago
• alipay / RGSL
  ☆44Updated 2 years ago
• zhengdaoli / AGC-net
  AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY
  ☆11Updated last year
• gorgen2020 / DVGNN
  ☆26Updated 2 years ago
• Bounger2 / ST-CGCN
  Display of data sets and core code in STCGCN
  ☆24Updated 2 years ago
• decisionintelligence / MTSF-DG
  ☆23Updated last year
• YuanYuan98 / UniFlow
  ☆13Updated 7 months ago
• Graph-Machine-Learning-Group / spin
  Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…
  ☆58Updated 2 years ago
• usail-hkust / ASeer
  The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…
  ☆23Updated 9 months ago
• LiuAoyu1998 / STAMT
  An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting
  ☆25Updated last month
• wengwenchao123 / PDG2Seq
  [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction
  ☆14Updated 3 weeks ago
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆24Updated last year
• deepkashiwa20 / MemeSTN
  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  ☆17Updated 2 years ago
• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆93Updated 3 months ago
• chenxiaodanhit / BiTGraph
  The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.
  ☆26Updated 9 months ago
• zyplanet / TPGNN
  ☆29Updated last year
• LiuAoyu1998 / STIDGCN
  Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
  ☆66Updated last month
• louisechen520 / Bi-STAT
  ☆25Updated last year
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆43Updated 2 years ago
• zhkai / MTSF-DG
  Time Series Forecasting with Dynamic Graph Modeling
  ☆10Updated 4 months ago
• yuyolshin / PGCN
  ☆15Updated last year
• djm209 / HSTGODE
  HSTGODE code
  ☆9Updated last year
• AprLie / TrafficStream
  ☆48Updated 3 years ago
• tongnie / NexuSQN
  Repository for ''Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale''
  ☆14Updated last year
• EternityZY / STNSCM
  This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
  ☆37Updated 2 years ago
• HKUDS / AutoST
  [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
  ☆65Updated last year