Alternatives and similar repositories for nh

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

• QiangAIResearcher / sahp_repo
  ☆61Updated 5 years ago
• SimiaoZuo / Transformer-Hawkes-Process
  Code for Transformer Hawkes Process, ICML 2020.
  ☆200Updated last year
• hongyuanmei / neurawkes
  Source code of The Neural Hawkes Process (NIPS 2017)
  ☆225Updated 4 years ago
• woshiyyya / ERPP-RMTPP
  A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
  ☆54Updated 6 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆87Updated 4 years ago
• Hongrui24 / NeuralHawkesPytorch
  ☆23Updated 5 years ago
• HongtengXu / Hawkes-Process-Toolkit
  A toolbox of Hawkes processes
  ☆115Updated 7 years ago
• ajboyd2 / vae_mpp
  Variational Autoencoders for Marked Point Processes
  ☆15Updated 5 years ago
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 4 years ago
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆61Updated 9 months ago
• hongyuanmei / neural-hawkes-particle-smoothing
  Source code of the neural Hawkes particle smoothing (ICML 2019)
  ☆43Updated 6 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆62Updated 4 years ago
• stmorse / hawkes
  Python class for generation and parameter estimation of multivariate Hawkes processes
  ☆170Updated 2 months ago
• guyulongcs / AAAI2021_ANPP
  Attentive Neural Point Processes for Event Forecasting, AAAI 2021
  ☆19Updated 4 years ago
• Hongrui24 / RMTPP-pytorch
  ☆17Updated 5 years ago
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆117Updated 3 months ago
• HongtengXu / PoPPy
  A Point Process Toolbox Based on PyTorch
  ☆134Updated 5 years ago
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆176Updated 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
• Z-GCNETs / Z-GCNETs
  ☆41Updated 3 years ago
• dunan / NeuralPointProcess
  ☆89Updated 2 years ago
• ant-research / EasyTemporalPointProcess
  EasyTPP: Towards Open Benchmarking Temporal Point Processes
  ☆320Updated 2 months ago
• sohamch / Neural-Hawkes-study
  A PyTorch exercise in implementing a continuous time LSTM to simulate Neural Hawkes Process based on the paper by Hongyuan Mei and Jason …
  ☆10Updated 2 years ago
• omitakahiro / Hawkes
  a python package for simulation and inference of Hawkes processes.
  ☆69Updated 4 years ago
• uoguelph-mlrg / LDG
  PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"
  ☆101Updated 4 years ago
• razhangwei / CAUSE
  ☆32Updated 3 years ago
• alipay / hypro_tpp
  PyTorch Implementation of Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequence, NeurIPS 2022
  ☆20Updated 2 years ago
• trouleau / var-hawkes
  Learning Hawkes Processes from a Handful of Events
  ☆13Updated 2 years ago
• yule-BUAA / DNNTSP
  codes of DNNTSP model for Temporal Sets Prediction
  ☆32Updated 4 years ago
• StatsDLMathsRecomSys / Self-attention-with-Functional-Time-Representation-Learning
  ☆49Updated 2 years ago