Alternatives and similar repositories for TVGL

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

• slinderman / pyhawkes
  Python framework for inference in Hawkes processes.
  ☆243Updated last year
• HongtengXu / Hawkes-Process-Toolkit
  A toolbox of Hawkes processes
  ☆115Updated 7 years ago
• dunan / MultiVariatePointProcess
  ☆77Updated 7 years ago
• HongtengXu / PoPPy
  A Point Process Toolbox Based on PyTorch
  ☆132Updated 4 years ago
• rofuyu / exp-trmf-nips16
  Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.
  ☆79Updated 6 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated last month
• dunan / NeuralPointProcess
  ☆89Updated 2 years ago
• davidhallac / NetworkLasso
  ☆22Updated 10 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆61Updated 4 years ago
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 3 years ago
• hongyuanmei / neurawkes
  Source code of The Neural Hawkes Process (NIPS 2017)
  ☆225Updated 3 years ago
• clinicalml / dmm
  Deep Markov Models
  ☆133Updated 6 years ago
• ncullen93 / pyBN
  Bayesian Networks in Python
  ☆149Updated last year
• stmorse / hawkes
  Python class for generation and parameter estimation of multivariate Hawkes processes
  ☆170Updated last year
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆63Updated 8 years ago
• canerturkmen / hawkeslib
  fast parameter estimation for simpler Hawkes processes
  ☆70Updated 3 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
• lnferreira / time_series_clustering_via_community_detection
  Code used in the paper "Time Series Clustering via Community Detection in Networks"
  ☆39Updated 5 years ago
• GoudetOlivier / CGNN
  Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"
  ☆100Updated 6 years ago
• xiaoshuai09 / Recurrent-Point-Process
  Modeling the asynchronous event sequence via Recurrent Point Process
  ☆60Updated 7 years ago
• mattjj / pylds
  some tools for gaussian linear dynamical systems
  ☆89Updated 7 years ago
• Networks-Learning / hdhp.py
  Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
  ☆36Updated 6 years ago
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆122Updated 5 years ago
• Mogeng / IOHMM
  Input Output Hidden Markov Model (IOHMM) in Python
  ☆168Updated last year
• SemenovAlex / trmf
  Temporal Regularized Matrix Factorization
  ☆40Updated 7 years ago
• saeeeeru / dtc-tensorflow
  Implementation of Deep Temporal Clustering.
  ☆74Updated 2 years ago
• clinicalml / structuredinference
  Structured Inference Networks for Nonlinear State Space Models
  ☆273Updated 7 years ago
• bnpy / bnpy
  Bayesian nonparametric machine learning for Python
  ☆227Updated 2 years ago
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 7 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆197Updated 2 years ago