Alternatives and similar repositories for ERPP-RMTPP:

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

• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 3 years ago
• QiangAIResearcher / sahp_repo
  ☆59Updated 4 years ago
• Hongrui24 / RMTPP-pytorch
  ☆15Updated 4 years ago
• dunan / NeuralPointProcess
  ☆89Updated 2 years ago
• xiao03 / nh
  A PyTorch Implementation of Neural Hawkes Process. Redefined.
  ☆32Updated 4 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆84Updated 4 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆60Updated 4 years ago
• HongtengXu / Hawkes-Process-Toolkit
  A toolbox of Hawkes processes
  ☆111Updated 7 years ago
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆109Updated 4 months ago
• SimiaoZuo / Transformer-Hawkes-Process
  Code for Transformer Hawkes Process, ICML 2020.
  ☆185Updated 11 months ago
• hongyuanmei / neurawkes
  Source code of The Neural Hawkes Process (NIPS 2017)
  ☆219Updated 3 years ago
• HongtengXu / PoPPy
  A Point Process Toolbox Based on PyTorch
  ☆130Updated 4 years ago
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆57Updated 2 months ago
• xiaoshuai09 / Recurrent-Point-Process
  Modeling the asynchronous event sequence via Recurrent Point Process
  ☆61Updated 7 years ago
• ajboyd2 / vae_mpp
  Variational Autoencoders for Marked Point Processes
  ☆15Updated 4 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆74Updated 3 years ago
• hongyuanmei / neural-hawkes-particle-smoothing
  Source code of the neural Hawkes particle smoothing (ICML 2019)
  ☆43Updated 5 years ago
• uoguelph-mlrg / LDG
  PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"
  ☆102Updated 4 years ago
• Hongrui24 / NeuralHawkesPytorch
  ☆21Updated 4 years ago
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 7 years ago
• EDAPINENUT / EDTPP
  ☆15Updated 2 years ago
• tonygracious / Temporal-Point-Process-TPP-
  This repository contains recent background materials, current works, and codes for researching in TPP.
  ☆16Updated last year
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated last year
• guyulongcs / AAAI2021_ANPP
  Attentive Neural Point Processes for Event Forecasting, AAAI 2021
  ☆16Updated 3 years ago
• Harryi0 / dyrep_torch
  ☆39Updated 4 years ago
• chocolates / Predicting-Path-Failure-In-Time-Evolving-Graphs
  The source code of kdd2019 project
  ☆25Updated 4 years ago
• yule-BUAA / DNNTSP
  codes of DNNTSP model for Temporal Sets Prediction
  ☆32Updated 4 years ago
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆22Updated 5 years ago
• StatsDLMathsRecomSys / Self-attention-with-Functional-Time-Representation-Learning
  ☆50Updated last year
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆47Updated last year