Alternatives and similar repositories for PoPPy

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

• HongtengXu / Hawkes-Process-Toolkit
  A toolbox of Hawkes processes
  ☆115Updated 7 years ago
• hongyuanmei / neurawkes
  Source code of The Neural Hawkes Process (NIPS 2017)
  ☆225Updated 3 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆86Updated 4 years ago
• hongyuanmei / neural-hawkes-particle-smoothing
  Source code of the neural Hawkes particle smoothing (ICML 2019)
  ☆43Updated 6 years ago
• dunan / NeuralPointProcess
  ☆89Updated 2 years ago
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 4 years ago
• 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"
  ☆62Updated 4 years ago
• xiaoshuai09 / Recurrent-Point-Process
  Modeling the asynchronous event sequence via Recurrent Point Process
  ☆60Updated 7 years ago
• woshiyyya / ERPP-RMTPP
  A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
  ☆54Updated 6 years ago
• slinderman / pyhawkes
  Python framework for inference in Hawkes processes.
  ☆243Updated 2 years ago
• stmorse / hawkes
  Python class for generation and parameter estimation of multivariate Hawkes processes
  ☆170Updated 3 weeks ago
• SimiaoZuo / Transformer-Hawkes-Process
  Code for Transformer Hawkes Process, ICML 2020.
  ☆197Updated last year
• dunan / MultiVariatePointProcess
  ☆77Updated 7 years ago
• rofuyu / exp-trmf-nips16
  Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.
  ☆79Updated 6 years ago
• MatthewDaws / PointProcesses
  Basics of point processes using python for simulation
  ☆62Updated 7 years ago
• Networks-Learning / hdhp.py
  Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
  ☆36Updated 6 years ago
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆61Updated 8 months ago
• meowoodie / Learning-Temporal-Point-Processes-via-Reinforcement-Learning
  PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.
  ☆15Updated 6 years ago
• loeweX / AmortizedCausalDiscovery
  Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
  ☆218Updated 3 years ago
• babylonhealth / neuralTPPs
  ☆31Updated 2 years ago
• meowoodie / Reinforcement-Learning-of-Spatio-Temporal-Point-Processes
  A general framework for learning spatio-temporal point processes via reinforcement learning
  ☆30Updated 4 years ago
• kurowasan / GraN-DAG
  ☆96Updated 2 years ago
• Networks-Learning / tpprl
  Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018
  ☆81Updated 6 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• razhangwei / CAUSE
  ☆31Updated 3 years ago
• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆346Updated 5 years ago
• fishmoon1234 / DAG-GNN
  ☆316Updated 3 years ago
• QiangAIResearcher / sahp_repo
  ☆60Updated 5 years ago
• xiao03 / nh
  A PyTorch Implementation of Neural Hawkes Process. Redefined.
  ☆34Updated 5 years ago