Alternatives and similar repositories for Recurrent-Point-Process:

Users that are interested in Recurrent-Point-Process are comparing it to the libraries listed below

• dunan / NeuralPointProcess
  ☆90Updated 2 years ago
• hongyuanmei / neural-hawkes-particle-smoothing
  Source code of the neural Hawkes particle smoothing (ICML 2019)
  ☆43Updated 5 years ago
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 3 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆60Updated 4 years ago
• hongyuanmei / neurawkes
  Source code of The Neural Hawkes Process (NIPS 2017)
  ☆222Updated 3 years ago
• dunan / MultiVariatePointProcess
  ☆77Updated 7 years ago
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 7 years ago
• HongtengXu / PoPPy
  A Point Process Toolbox Based on PyTorch
  ☆130Updated 4 years ago
• HongtengXu / Hawkes-Process-Toolkit
  A toolbox of Hawkes processes
  ☆112Updated 7 years ago
• woshiyyya / ERPP-RMTPP
  A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
  ☆55Updated 5 years 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.
  ☆13Updated 5 years ago
• BjornarVass / Recsys
  ☆22Updated 2 years ago
• rofuyu / exp-trmf-nips16
  Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.
  ☆79Updated 5 years ago
• xiao03 / nh
  A PyTorch Implementation of Neural Hawkes Process. Redefined.
  ☆33Updated 4 years ago
• Hongrui24 / RMTPP-pytorch
  ☆16Updated 4 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆84Updated 4 years ago
• weilai0980 / IMV-LSTM
  Multi-variable LSTM recurrent neural networks for prediction and interpretation of multi-variable time series
  ☆48Updated 3 years ago
• QiangAIResearcher / sahp_repo
  ☆59Updated 4 years ago
• hongyuanmei / tpp-short-course
  A short course on temporal point process and modeling irregular time series
  ☆21Updated 4 years ago
• zhiyongc / GRU-D
  Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values
  ☆117Updated 5 years ago
• AlgorithmFan / BPTF
  Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
  ☆21Updated 8 years ago
• achab / nphc
  NPHC
  ☆17Updated 3 years ago
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆58Updated 4 months ago
• prasoongoyal / bnp-vae
  ☆11Updated 7 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• Networks-Learning / hdhp.py
  Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
  ☆36Updated 6 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 6 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated last year
• JiaxuanYou / HierTCN
  Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
  ☆30Updated 5 years ago
• Networks-Learning / tpprl
  Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018
  ☆78Updated 6 years ago