Python framework for inference in Hawkes processes.
☆249Aug 18, 2023Updated 3 years ago
Alternatives and similar repositories for pyhawkes
Users that are interested in pyhawkes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python class for generation and parameter estimation of multivariate Hawkes processes☆178Aug 27, 2025Updated last year
- Module for statistical learning, with a particular emphasis on time-dependent modelling☆556Jun 15, 2026Updated 3 months ago
- a python package for simulation and inference of Hawkes processes.☆72Apr 1, 2021Updated 5 years ago
- A toolbox of Hawkes processes☆117Feb 14, 2018Updated 8 years ago
- fast parameter estimation for simpler Hawkes processes☆72Jun 3, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A Point Process Toolbox Based on PyTorch☆140Aug 31, 2020Updated 6 years ago
- Learning Hawkes Processes from a Handful of Events☆13Jul 6, 2023Updated 3 years ago
- ☆78Dec 2, 2017Updated 8 years ago
- Source code of The Neural Hawkes Process (NIPS 2017)☆229Sep 27, 2021Updated 4 years ago
- NPHC☆18May 30, 2021Updated 5 years ago
- [Python Package] Code from 'The Elements of Hawkes Processes' Book☆32Sep 28, 2023Updated 2 years ago
- My PhD Thesis☆22May 13, 2016Updated 10 years ago
- code for "Fully Neural Network based Model for General Temporal Point Processes"☆65Jan 29, 2021Updated 5 years ago
- Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017☆36Dec 4, 2018Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- evently: simulation, fitting of Hawkes processes☆16Jan 22, 2023Updated 3 years ago
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆44May 15, 2019Updated 7 years ago
- ☆13Mar 22, 2018Updated 8 years ago
- SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations☆14Apr 15, 2018Updated 8 years ago
- Recurrent Marked Temporal Point Processes☆54Aug 15, 2021Updated 5 years ago
- Baruch MFE MTH9894☆13Jun 4, 2017Updated 9 years ago
- Paper lists for Temporal Point Process☆123Jul 19, 2026Updated 2 months ago
- A PyTorch Implementation of Neural Hawkes Process. Redefined.☆36Jul 14, 2020Updated 6 years ago
- MCMC Inference for a Hawkes process in Julia☆26May 2, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆89Dec 26, 2022Updated 3 years ago
- ☆35Aug 5, 2023Updated 3 years ago
- Python library with C++ extensions for simulation, compensator, log-likelihood and intensity function computation for a multivariate Hawk…☆10Sep 25, 2017Updated 9 years ago
- Hawkes with Latency☆20Jan 16, 2021Updated 5 years ago
- PyTorch Implementation of Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequence, NeurIPS 2022☆20Nov 20, 2022Updated 3 years ago
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆88Feb 1, 2021Updated 5 years ago
- A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.☆55Jun 28, 2019Updated 7 years ago
- Pseudo-Marginal Slice Sampling☆19Jun 8, 2016Updated 10 years ago
- Parametric estimation of multivariate Hawkes processes with general kernels.☆14May 27, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- learning point processes by means of optimal transport and wasserstein distance☆54Mar 3, 2018Updated 8 years ago
- code for Structured Variational Autoencoders☆353Aug 22, 2018Updated 8 years ago
- Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018☆79May 4, 2019Updated 7 years ago
- ☆63Aug 25, 2020Updated 6 years ago
- A Spatio-temporal point process simulator.☆48May 27, 2023Updated 3 years ago
- changepoint detection for Bayesian models☆19Nov 7, 2014Updated 11 years ago
- A method for event correlation detection based on Spatial-Temporal-Textual point process☆13Dec 16, 2019Updated 6 years ago