Alternatives and similar repositories for Neural-Spectral-Marked-Point-Processes

Users that are interested in Neural-Spectral-Marked-Point-Processes are comparing it to the libraries listed below

• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• trouleau / var-hawkes
  Learning Hawkes Processes from a Handful of Events
  ☆13Updated 2 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆64Updated 5 years ago
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆12Updated 2 years ago
• BorealisAI / continuous-time-flow-process
  PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
  ☆47Updated 5 years ago
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated 2 years ago
• ahmedmalaa / Fourier-flows
  ☆18Updated 4 years ago
• Hongrui24 / NeuralHawkesPytorch
  ☆25Updated 5 years ago
• Nicolivain / online-sequential-optimization
  Online Convex Optimization algorithms in Python
  ☆12Updated 4 years ago
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆62Updated last year
• meowoodie / Reinforcement-Learning-of-Spatio-Temporal-Point-Processes
  A general framework for learning spatio-temporal point processes via reinforcement learning
  ☆30Updated 5 years ago
• Networks-Learning / counterfactual-explanations-mdp
  Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
  ☆16Updated 2 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆88Updated 5 years ago
• tonygracious / Temporal-Point-Process-TPP-
  This repository contains recent background materials, current works, and codes for researching in TPP.
  ☆16Updated 2 years ago
• YoungseogChung / calibrated-quantile-uq
  Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)
  ☆44Updated last year
• larslorch / stadion
  Causal Modeling with Stationary Diffusions, AISTATS 2024
  ☆21Updated 10 months ago
• SeyoungKimLab / DMGP
  Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, …
  ☆13Updated 3 years ago
• LaurenceA / bayesfunc
  ☆15Updated 3 years ago
• 000Justin000 / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆64Updated 4 years ago
• canerturkmen / hawkeslib
  fast parameter estimation for simpler Hawkes processes
  ☆73Updated 3 years ago
• cgarciae / quantile-regression
  ☆22Updated 4 years ago
• mstaib / mmd-dro-code
  Accompanying code for our NeurIPS 2019 paper
  ☆12Updated 6 years ago
• majianthu / transferentropy
  Code for the paper "Estimating Transfer Entropy via Copula Entropy"
  ☆43Updated 2 years ago
• msesia / cqr-comparison
  A comparison of some conformal quantile regression methods.
  ☆14Updated 6 years ago
• networkslab / rnn_flow
  ☆23Updated 4 years ago
• Rose-STL-Lab / MCD
  Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"
  ☆24Updated 7 months ago
• zikunye2 / deep_learning_based_causal_inference_for_combinatorial_experiments
  codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments
  ☆14Updated 10 months ago
• sakhanna / SRU_for_GCI
  Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality
  ☆35Updated 5 years ago
• kamdh / tvart
  Time-varying Autoregression with Low Rank Tensors
  ☆16Updated 4 years ago
• meowoodie / Spatio-Temporal-Point-Process-Simulator
  A Spatio-temporal point process simulator.
  ☆48Updated 2 years ago