Alternatives and similar repositories for RMTPP-pytorch

Users that are interested in RMTPP-pytorch are comparing it to the libraries listed below

• woshiyyya / ERPP-RMTPP
  A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
  ☆54Updated 6 years ago
• QiangAIResearcher / sahp_repo
  ☆60Updated 5 years ago
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 4 years ago
• huaxiuyao / MetaST
  MetaST for WWW 2019
  ☆52Updated 5 years ago
• xiao03 / nh
  A PyTorch Implementation of Neural Hawkes Process. Redefined.
  ☆34Updated 5 years ago
• chocolates / Predicting-Path-Failure-In-Time-Evolving-Graphs
  The source code of kdd2019 project
  ☆26Updated 4 years ago
• panzheyi / ST-MetaNet
  The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"
  ☆211Updated 2 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆86Updated 4 years ago
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆176Updated 3 years ago
• ajboyd2 / vae_mpp
  Variational Autoencoders for Marked Point Processes
  ☆15Updated 5 years ago
• uoguelph-mlrg / LDG
  PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"
  ☆101Updated 4 years ago
• willzhang3 / SHARE-parking_availability_prediction-Pytorch
  Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
  ☆44Updated 3 years ago
• xlwang233 / pytorch-DCRNN
  PyTorch implementation of Diffusion Convolutional Recurrent Neural Network
  ☆50Updated 5 years ago
• boathit / deepgtt
  DeepGTT: Learning Travel Time Distributions with Deep Generative Model
  ☆36Updated 6 years ago
• guokan987 / HGCN
  The code of AAAI2021 paper of HGCN for Traffic Forecasting
  ☆97Updated 3 years ago
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆113Updated 2 months ago
• tanwimallick / TL-DCRNN
  ☆42Updated 3 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 4 years ago
• SimiaoZuo / Transformer-Hawkes-Process
  Code for Transformer Hawkes Process, ICML 2020.
  ☆197Updated last year
• panzheyi / MF-STN
  The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"
  ☆25Updated 2 years ago
• Curb-GAN / Curb-GAN
  The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"
  ☆33Updated 5 years ago
• zhangzx-sjtu / LANTERN-NeurIPS-2019
  Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""
  ☆10Updated 4 years ago
• Z-GCNETs / Z-GCNETs
  ☆41Updated 3 years ago
• hongyuanmei / neurawkes
  Source code of The Neural Hawkes Process (NIPS 2017)
  ☆225Updated 3 years ago
• geopanag / pandemic_tgnn
  ☆47Updated 10 months ago
• Kaimaoge / IGNNK
  ☆123Updated 2 years ago
• Aguin / STGCN-PyTorch
  PyTorch implementation of STGCN
  ☆75Updated 5 years ago
• guyulongcs / AAAI2021_ANPP
  Attentive Neural Point Processes for Event Forecasting, AAAI 2021
  ☆18Updated 4 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆118Updated 3 years ago
• l852888 / AGSTN
  Official implementation of AGSTN model(ICDM2020)
  ☆12Updated 5 years ago