Alternatives and similar repositories for PointProcesses

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

• HongtengXu / PoPPy
  A Point Process Toolbox Based on PyTorch
  ☆131Updated 4 years ago
• meowoodie / Spatio-Temporal-Point-Process-Simulator
  A Spatio-temporal point process simulator.
  ☆46Updated 2 years ago
• canerturkmen / hawkeslib
  fast parameter estimation for simpler Hawkes processes
  ☆70Updated 3 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆61Updated 4 years ago
• HongtengXu / Hawkes-Process-Toolkit
  A toolbox of Hawkes processes
  ☆113Updated 7 years ago
• Mogeng / IOHMM
  Input Output Hidden Markov Model (IOHMM) in Python
  ☆167Updated 11 months ago
• stmorse / hawkes
  Python class for generation and parameter estimation of multivariate Hawkes processes
  ☆168Updated last year
• Networks-Learning / hdhp.py
  Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
  ☆36Updated 6 years ago
• Networks-Learning / tpprl
  Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018
  ☆79Updated 6 years ago
• pmorenoz / HierCPD
  Hierarchical Change-Point Detection
  ☆14Updated 6 years ago
• freelunchtheorem / Conditional_Density_Estimation
  Package implementing various parametric and nonparametric methods for conditional density estimation
  ☆197Updated 2 years ago
• dunan / MultiVariatePointProcess
  ☆77Updated 7 years ago
• xiaoshuai09 / Recurrent-Point-Process
  Modeling the asynchronous event sequence via Recurrent Point Process
  ☆61Updated 7 years ago
• meowoodie / Reinforcement-Learning-of-Spatio-Temporal-Point-Processes
  A general framework for learning spatio-temporal point processes via reinforcement learning
  ☆31Updated 4 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆85Updated 4 years ago
• trouleau / var-hawkes
  Learning Hawkes Processes from a Handful of Events
  ☆13Updated last year
• slinderman / pyhawkes
  Python framework for inference in Hawkes processes.
  ☆241Updated last year
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 7 years ago
• hongyuanmei / neural-hawkes-particle-smoothing
  Source code of the neural Hawkes particle smoothing (ICML 2019)
  ☆43Updated 6 years ago
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 3 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆77Updated last year
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• ksanjeevan / randomforest-density-python
  Random Forests for Density Estimation in Python
  ☆27Updated last year
• clinicalml / dmm
  Deep Markov Models
  ☆131Updated 6 years ago
• babylonhealth / neuralTPPs
  ☆30Updated last year
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆51Updated 6 years ago
• 000Justin000 / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆59Updated 4 years ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago
• hongyuanmei / neurawkes
  Source code of The Neural Hawkes Process (NIPS 2017)
  ☆223Updated 3 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago