Alternatives and similar repositories for Reinforcement-Learning-of-Spatio-Temporal-Point-Processes

Users that are interested in Reinforcement-Learning-of-Spatio-Temporal-Point-Processes are comparing it to the libraries listed below

• meowoodie / Spatio-Temporal-Point-Process-Simulator
  A Spatio-temporal point process simulator.
  ☆46Updated 2 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆61Updated 4 years ago
• hongyuanmei / neural-hawkes-particle-smoothing
  Source code of the neural Hawkes particle smoothing (ICML 2019)
  ☆43Updated 6 years ago
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆60Updated 7 months ago
• HongtengXu / PoPPy
  A Point Process Toolbox Based on PyTorch
  ☆132Updated 4 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆85Updated 4 years ago
• hongyuanmei / tpp-short-course
  A short course on temporal point process and modeling irregular time series
  ☆21Updated 4 years ago
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated last year
• xiao03 / nh
  A PyTorch Implementation of Neural Hawkes Process. Redefined.
  ☆34Updated 5 years ago
• woshiyyya / ERPP-RMTPP
  A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
  ☆55Updated 6 years ago
• HongtengXu / Hawkes-Process-Toolkit
  A toolbox of Hawkes processes
  ☆115Updated 7 years ago
• Networks-Learning / tpprl
  Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018
  ☆79Updated 6 years ago
• networkslab / rnn_flow
  ☆23Updated 4 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.
  ☆15Updated 6 years ago
• zhangzx-sjtu / LANTERN-NeurIPS-2019
  Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""
  ☆10Updated 4 years ago
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 7 years ago
• sjblim / rmsn_nips_2018
  ☆40Updated 6 years ago
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 3 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 4 years ago
• BSifringer / EnhancedDCM
  Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit
  ☆41Updated 5 years ago
• Matrix-Factorization-Bandit / IMFB-KDD2019
  Code for the experiments of Matrix Factorization Bandit
  ☆24Updated 6 years ago
• edouardelasalles / stnn
  Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"
  ☆120Updated 5 years ago
• razhangwei / CAUSE
  ☆30Updated 3 years ago
• hongyuanmei / neurawkes
  Source code of The Neural Hawkes Process (NIPS 2017)
  ☆225Updated 3 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆75Updated 9 months ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• 000Justin000 / gnn-residual-correlation
  ☆20Updated 4 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• Networks-Learning / hdhp.py
  Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
  ☆36Updated 6 years ago
• xiaoshuai09 / Recurrent-Point-Process
  Modeling the asynchronous event sequence via Recurrent Point Process
  ☆60Updated 7 years ago