A Point Process Toolbox Based on PyTorch
☆140Aug 31, 2020Updated 6 years ago
Alternatives and similar repositories for PoPPy
Users that are interested in PoPPy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A toolbox of Hawkes processes☆117Feb 14, 2018Updated 8 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Mar 3, 2018Updated 8 years ago
- Python framework for inference in Hawkes processes.☆249Aug 18, 2023Updated 3 years ago
- Deep Point Process by PyTorch☆22Nov 10, 2019Updated 6 years ago
- Module for statistical learning, with a particular emphasis on time-dependent modelling☆555Jun 15, 2026Updated 2 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Source code of The Neural Hawkes Process (NIPS 2017)☆229Sep 27, 2021Updated 4 years ago
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆44May 15, 2019Updated 7 years ago
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆88Feb 1, 2021Updated 5 years ago
- Recurrent Marked Temporal Point Processes☆54Aug 15, 2021Updated 5 years ago
- Code for Transformer Hawkes Process, ICML 2020.☆205Apr 4, 2024Updated 2 years ago
- A short course on temporal point process and modeling irregular time series☆21Nov 20, 2020Updated 5 years ago
- Modeling the asynchronous event sequence via Recurrent Point Process☆61Jan 10, 2018Updated 8 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆22Dec 1, 2023Updated 2 years ago
- code for "Fully Neural Network based Model for General Temporal Point Processes"☆65Jan 29, 2021Updated 5 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.
- Python class for generation and parameter estimation of multivariate Hawkes processes☆178Aug 27, 2025Updated last year
- A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.☆55Jun 28, 2019Updated 7 years ago
- A PyTorch Implementation of Neural Hawkes Process. Redefined.☆36Jul 14, 2020Updated 6 years ago
- ☆21May 29, 2022Updated 4 years ago
- This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).☆23May 22, 2023Updated 3 years ago
- ☆19Jun 24, 2020Updated 6 years ago
- Parametric estimation of multivariate Hawkes processes with general kernels.☆14May 27, 2024Updated 2 years ago
- ☆89Dec 26, 2022Updated 3 years ago
- a python package for simulation and inference of Hawkes processes.☆72Apr 1, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A list of papers for group meeting☆20Jun 20, 2026Updated 2 months ago
- evently: simulation, fitting of Hawkes processes☆16Jan 22, 2023Updated 3 years ago
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆61Dec 28, 2024Updated last year
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Nov 3, 2020Updated 5 years ago
- ☆78Dec 2, 2017Updated 8 years ago
- A Spatio-temporal point process simulator.☆48May 27, 2023Updated 3 years ago
- Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018☆79May 4, 2019Updated 7 years ago
- Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017☆36Dec 4, 2018Updated 7 years ago
- Paper lists for Temporal Point Process☆122Jul 19, 2026Updated last month
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Variational Autoencoders for Marked Point Processes☆16Jun 11, 2020Updated 6 years ago
- Edge-weighted online bipartite matching (JACM 2022)☆12Jun 18, 2023Updated 3 years ago
- ☆26Jul 24, 2020Updated 6 years ago
- ☆10Jul 11, 2025Updated last year
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Apr 1, 2020Updated 6 years ago
- A general framework for learning spatio-temporal point processes via reinforcement learning☆30Jan 6, 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