DanieleGammelli / variational-poisson-rnn

Related projects ⓘ

Alternatives and complementary repositories for variational-poisson-rnn

• Evens1sen / Deep-NYC-Taxi-Bike
  The repo for the ITSC 2022 paper "Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset"
  ☆19Updated last year
• underdoc-wang / MPGCN
  [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)
  ☆17Updated 3 years ago
• RomainLITUD / Multistep-Traffic-Forecasting-by-Dynamic-Graph-Convolution
  Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations
  ☆16Updated 4 months ago
• alzmxx / OD_Prediction
  Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter
  ☆12Updated 4 years ago
• zouguojian / Traffic-speed-prediction
  Using to predict the highway traffic speed
  ☆29Updated 7 months ago
• Vadermit / TransPAI
  Transportation data online prediction
  ☆46Updated 3 years ago
• JinleiZhangBJTU / Conv-GCN
  Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit
  ☆29Updated 4 years ago
• jonpappalord / crowd_flow_prediction
  ☆12Updated 2 years ago
• liulingbo918 / CSTN
  Taxi Origin-Destination Demand Prediction
  ☆55Updated 4 years ago
• TrafficGCN / osmnx_adjacency_matrix_for_graph_convolutional_networks
  Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs
  ☆18Updated 7 months ago
• tanwimallick / TL-DCRNN
  ☆40Updated 2 years ago
• xinychen / vars
  Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)
  ☆18Updated this week
• mingqian000 / TrGNN
  Traffic Flow Prediction with Vehicle Trajectories
  ☆61Updated 3 years ago
• xinychen / tracebase
  Temporal matrix factorization for sparse traffic time series forecasting.
  ☆48Updated last month
• CYBruce / STAWnet
  An end-to-end deep learning model for spatial-temporal prediction
  ☆33Updated 2 years ago
• ZhuangDingyi / STZINB
  Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction
  ☆24Updated 2 years ago
• gzzang / traffic_assignment
  交通分配
  ☆25Updated 4 years 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
  ☆31Updated last year
• RobinLu1209 / STAG-GCN
  Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting
  ☆66Updated 4 years ago
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆20Updated 11 months ago
• Kelang-Tian / ST-MGAT
  ☆19Updated 4 years ago
• fbohu / Deep-Spatio-Temporal-Forecasting-of-Electrical-Vehicle-Charging-Demand
  ☆39Updated 3 years ago
• wenhaomin / LaDe
  Code for tasks on Cainiao-LaDe (Last-mile Delivery dataset).
  ☆43Updated 7 months ago
• pengzhangzhi / spatial-temporal-transformer
  traffic flow prediction
  ☆21Updated 2 years ago
• aeternae / TianChi_Metro_Predict
  利用已有的地铁流量历史数据建立模型，实现数据间存在的关联，为该城市未来一天的地铁流量进行一个较为准确的预测
  ☆22Updated 5 years ago
• luansenda / congestion_propagation_inference
  ☆13Updated 2 years ago
• RingBDStack / GCNN-In-Traffic
  ☆13Updated 6 years ago
• kejintao / ST-ED-RMGC
  Code for the paper "Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convol…
  ☆14Updated 3 years ago
• bilzinet / Traffic-state-reconstruction-using-Deep-CNN
  We propose a statistical learning-based traffic speed estimation method that uses sparse vehicle trajectory information. Using a convolut…
  ☆22Updated 4 years ago
• shrey920 / MultivariateTimeSeriesForecasting
  This project is an implementation of the paper Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. The model LSTNe…
  ☆16Updated 5 years ago