A PyTorch Implementation of Neural Hawkes Process. Redefined.
☆36Jul 14, 2020Updated 5 years ago
Alternatives and similar repositories for nh
Users that are interested in nh are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆62Aug 25, 2020Updated 5 years ago
- Source code of The Neural Hawkes Process (NIPS 2017)☆228Sep 27, 2021Updated 4 years ago
- Code for Transformer Hawkes Process, ICML 2020.☆203Apr 4, 2024Updated 2 years ago
- Recurrent Marked Temporal Point Processes☆55Aug 15, 2021Updated 4 years ago
- A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.☆55Jun 28, 2019Updated 6 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.
- PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.☆14May 17, 2019Updated 7 years ago
- ☆25Jul 24, 2020Updated 5 years ago
- ☆18Jun 24, 2020Updated 5 years ago
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆87Feb 1, 2021Updated 5 years ago
- Hawkes with Latency☆20Jan 16, 2021Updated 5 years ago
- WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems☆35Oct 18, 2019Updated 6 years ago
- Official repo of Future-aware Diverse Trends Framework for Recommendation☆11Jul 22, 2022Updated 3 years ago
- A PyTorch implementation of Determinantal Point Process Likelihoods for Sequential Recommendation☆12Dec 9, 2024Updated last year
- ☆21May 29, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- This is the our implementation for the paper: Exploring Mixed Information Flow for Cross-domain Sequential Recommendations☆12Aug 17, 2020Updated 5 years ago
- Hosting of ready-to-use machine learning datasets☆18Jan 22, 2018Updated 8 years ago
- A Point Process Toolbox Based on PyTorch☆138Aug 31, 2020Updated 5 years ago
- Evaluate the value of patents through the credits they receive☆10Jul 31, 2017Updated 8 years ago
- Variational Autoencoders for Marked Point Processes☆15Jun 11, 2020Updated 5 years ago
- ☆90Dec 26, 2022Updated 3 years ago
- code for "Fully Neural Network based Model for General Temporal Point Processes"☆65Jan 29, 2021Updated 5 years ago
- Try to implement Hybrid Attention Net mentioned in 'Listening to Chaotic Whispers'☆11Feb 28, 2021Updated 5 years ago
- Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization☆12Mar 23, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆61Dec 28, 2024Updated last year
- ☆33Feb 11, 2022Updated 4 years ago
- Minimal implementation and experiments of "No-Transaction Band Network: A Neural Network Architecture for Efficient Deep Hedging".☆32May 26, 2021Updated 5 years ago
- a python package for simulation and inference of Hawkes processes.☆72Apr 1, 2021Updated 5 years ago
- Learning Hawkes Processes from a Handful of Events☆13Jul 6, 2023Updated 2 years ago
- Paper lists for Temporal Point Process☆123Jul 4, 2025Updated 10 months ago
- learning point processes by means of optimal transport and wasserstein distance☆54Mar 3, 2018Updated 8 years ago
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆11Nov 26, 2024Updated last year
- Python framework for inference in Hawkes processes.☆249Aug 18, 2023Updated 2 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.
- Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy grad…☆20Nov 28, 2019Updated 6 years ago
- Evolutionary Quantitative Trading Strategy Development System. Fork of OpenEvolve☆44May 30, 2025Updated 11 months ago
- This is the repository for the Models of Sequence Data 2020 Edition for the project DeepFolio☆16Dec 17, 2020Updated 5 years ago
- Python class for generation and parameter estimation of multivariate Hawkes processes☆177Aug 27, 2025Updated 9 months ago
- ☆31Jun 14, 2020Updated 5 years ago
- A novel general non-stationary point process model based on neural networks.☆10Sep 23, 2022Updated 3 years ago
- ☆77Dec 2, 2017Updated 8 years ago