Alternatives and similar repositories for hawkeslib

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

• omitakahiro / Hawkes
  a python package for simulation and inference of Hawkes processes.
  ☆66Updated 4 years ago
• HongtengXu / Hawkes-Process-Toolkit
  A toolbox of Hawkes processes
  ☆113Updated 7 years ago
• stmorse / hawkes
  Python class for generation and parameter estimation of multivariate Hawkes processes
  ☆168Updated last year
• Pat-Laub / hawkesbook
  [Python Package] Code from 'The Elements of Hawkes Processes' Book
  ☆28Updated last year
• trouleau / var-hawkes
  Learning Hawkes Processes from a Handful of Events
  ☆13Updated last year
• slinderman / pyhawkes
  Python framework for inference in Hawkes processes.
  ☆240Updated last year
• HongtengXu / PoPPy
  A Point Process Toolbox Based on PyTorch
  ☆132Updated 4 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
• dunan / MultiVariatePointProcess
  ☆77Updated 7 years ago
• achab / nphc
  NPHC
  ☆17Updated 4 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆85Updated 4 years ago
• Networks-Learning / hdhp.py
  Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
  ☆36Updated 6 years ago
• X-DataInitiative / tick-datasets
  Hosting of ready-to-use machine learning datasets
  ☆17Updated 7 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆61Updated 4 years ago
• saadlabyad / aslsd
  Parametric estimation of multivariate Hawkes processes with general kernels.
  ☆13Updated last year
• maximemorariu / mpoints
  A machine learning tool that implements the class of state-dependent Hawkes processes.
  ☆31Updated last year
• ragoragino / py-hawkes
  Python library with C++ extensions for simulation, compensator, log-likelihood and intensity function computation for a multivariate Hawk…
  ☆10Updated 7 years ago
• babylonhealth / neuralTPPs
  ☆31Updated last year
• asnelt / mixedvines
  Python package for canonical vine copula trees with mixed continuous and discrete marginals
  ☆47Updated last year
• SigCGANs / Sig-Wasserstein-GANs
  ☆27Updated last year
• stochasticresearch / copula-py
  Python Copula Module
  ☆43Updated 2 years ago
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆59Updated 5 months ago
• datasig-ac-uk / signature_applications
  Example applications of path signatures
  ☆39Updated 2 months ago
• MatthewDaws / PointProcesses
  Basics of point processes using python for simulation
  ☆62Updated 7 years ago
• hongyuanmei / neurawkes
  Source code of The Neural Hawkes Process (NIPS 2017)
  ☆223Updated 3 years ago
• DarkEyes / VLTimeSeriesCausality
  A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.
  ☆56Updated last year
• xiao03 / nh
  A PyTorch Implementation of Neural Hawkes Process. Redefined.
  ☆33Updated 4 years ago
• ZacKeskin / PyCausality
  Calculate predictive causality between time series using information-theoretic techniques
  ☆97Updated 3 years ago
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 3 years ago
• msabvid / robust_nsde
  Robust pricing and hedging via Neural SDEs
  ☆36Updated 3 years ago