Alternatives and similar repositories for MultiVariatePointProcess

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

• dunan / NeuralPointProcess
  ☆90Updated 2 years ago
• xiaoshuai09 / Recurrent-Point-Process
  Modeling the asynchronous event sequence via Recurrent Point Process
  ☆61Updated 7 years ago
• HongtengXu / Hawkes-Process-Toolkit
  A toolbox of Hawkes processes
  ☆113Updated 7 years ago
• achab / nphc
  NPHC
  ☆17Updated 4 years ago
• HongtengXu / PoPPy
  A Point Process Toolbox Based on PyTorch
  ☆131Updated 4 years ago
• hongyuanmei / neural-hawkes-particle-smoothing
  Source code of the neural Hawkes particle smoothing (ICML 2019)
  ☆43Updated 6 years ago
• slinderman / pyhawkes
  Python framework for inference in Hawkes processes.
  ☆241Updated last year
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 3 years ago
• hongyuanmei / neurawkes
  Source code of The Neural Hawkes Process (NIPS 2017)
  ☆223Updated 3 years ago
• canerturkmen / hawkeslib
  fast parameter estimation for simpler Hawkes processes
  ☆70Updated 3 years ago
• Networks-Learning / hdhp.py
  Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
  ☆36Updated 6 years ago
• stmorse / hawkes
  Python class for generation and parameter estimation of multivariate Hawkes processes
  ☆168Updated last year
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 7 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆61Updated 4 years ago
• Networks-Learning / tpprl
  Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018
  ☆79Updated 6 years ago
• s-mishra / featuredriven-hawkes
  Code and Data for CIKM Paper Feature Driven and Point Process Approaches for Popularity Prediction
  ☆71Updated 8 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago
• aschein / bptf
  Bayesian Poisson tensor factorization
  ☆59Updated 7 months ago
• hongyuanmei / tpp-short-course
  A short course on temporal point process and modeling irregular time series
  ☆21Updated 4 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆85Updated 4 years ago
• blei-lab / deep-exponential-families
  Deep exponential families (DEFs)
  ☆55Updated 7 years ago
• woshiyyya / ERPP-RMTPP
  A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
  ☆55Updated 5 years ago
• MatthewDaws / PointProcesses
  Basics of point processes using python for simulation
  ☆62Updated 7 years ago
• GoudetOlivier / CGNN
  Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"
  ☆99Updated 5 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 5 years ago
• X-DataInitiative / tick-datasets
  Hosting of ready-to-use machine learning datasets
  ☆17Updated 7 years ago
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆58Updated 5 months ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆66Updated 7 years ago
• panisson / ntf-school
  Revealing mesocale structures of time-varying networks through non-negative tensor factorization
  ☆45Updated 9 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago