Alternatives and similar repositories for NeuralHawkesPytorch:

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

• xiao03 / nh
  A PyTorch Implementation of Neural Hawkes Process. Redefined.
  ☆33Updated 4 years ago
• QiangAIResearcher / sahp_repo
  ☆59Updated 4 years ago
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆58Updated 4 months 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
• woshiyyya / ERPP-RMTPP
  A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
  ☆55Updated 5 years ago
• EDAPINENUT / GNTPP
  This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).
  ☆19Updated last year
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 3 years ago
• jma712 / HyperSCI
  ☆44Updated last year
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆84Updated 4 years ago
• hongyuanmei / neural-hawkes-particle-smoothing
  Source code of the neural Hawkes particle smoothing (ICML 2019)
  ☆43Updated 5 years ago
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆111Updated 6 months ago
• EDAPINENUT / EDTPP
  ☆16Updated 2 years ago
• guyulongcs / AAAI2021_ANPP
  Attentive Neural Point Processes for Event Forecasting, AAAI 2021
  ☆17Updated 3 years ago
• ajboyd2 / vae_mpp
  Variational Autoencoders for Marked Point Processes
  ☆16Updated 4 years ago
• xpuoxford / L2G-neurips2021
  ☆26Updated 3 years ago
• TaiLvYuanLiang / HGWaveNet
  ☆12Updated last year
• rootlu / MMDNE
  Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
  ☆37Updated 3 years ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆27Updated 2 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 3 years ago
• yule-BUAA / DNNTSP
  codes of DNNTSP model for Temporal Sets Prediction
  ☆31Updated 4 years 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
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 7 years ago
• StatsDLMathsRecomSys / Self-attention-with-Functional-Time-Representation-Learning
  ☆50Updated 2 years ago
• SimiaoZuo / Transformer-Hawkes-Process
  Code for Transformer Hawkes Process, ICML 2020.
  ☆190Updated last year
• hongyuanmei / nce-mpp
  Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).
  ☆15Updated 4 years ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• chr26195 / Caseq
  The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIP…
  ☆22Updated last year
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆30Updated 5 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆60Updated 4 years ago