Alternatives and similar repositories for triangular-tpp:

Users that are interested in triangular-tpp are comparing it to the libraries listed below

• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆57Updated last month
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆83Updated 4 years ago
• 000Justin000 / gnn-residual-correlation
  ☆20Updated 3 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆35Updated 4 years ago
• EDAPINENUT / GNTPP
  This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).
  ☆19Updated last year
• tonygracious / Temporal-Point-Process-TPP-
  This repository contains recent background materials, current works, and codes for researching in TPP.
  ☆16Updated last year
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• babylonhealth / neuralTPPs
  ☆29Updated last year
• facebookresearch / neural_stpp
  Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…
  ☆102Updated 3 years ago
• tailintalent / causal
  Discovering directional relations via minimum predictive information regularization
  ☆23Updated 5 years ago
• hongyuanmei / nce-mpp
  Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).
  ☆15Updated 4 years ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆27Updated 2 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆60Updated 4 years ago
• hongyuanmei / tpp-short-course
  A short course on temporal point process and modeling irregular time series
  ☆21Updated 4 years ago
• meowoodie / Neural-Spectral-Marked-Point-Processes
  A novel general non-stationary point process model based on neural networks.
  ☆10Updated 2 years ago
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 6 years ago
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆22Updated 5 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆45Updated 4 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆22Updated 4 years ago
• networkslab / rnn_flow
  ☆22Updated 3 years ago
• 000Justin000 / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆58Updated 4 years ago
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 3 years ago
• meowoodie / Spatio-Temporal-Point-Process-Simulator
  A Spatio-temporal point process simulator.
  ☆45Updated last year
• DiffEqML / tutorials
  ☆10Updated 2 years ago
• hongyuanmei / neural-hawkes-particle-smoothing
  Source code of the neural Hawkes particle smoothing (ICML 2019)
  ☆43Updated 5 years ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆29Updated 2 years ago
• ChengzijunAixiaoli / PPMM
  Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]
  ☆16Updated 3 years ago
• woshiyyya / ERPP-RMTPP
  A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
  ☆56Updated 5 years ago
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆51Updated 4 years ago
• razhangwei / CAUSE
  ☆30Updated 3 years ago