Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inference of point process. It is capable of learning complicated underlying intensity functions, like a damped sine wave.
☆25Oct 14, 2024Updated last year
Alternatives and similar repositories for AutoSTPP
Users that are interested in AutoSTPP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 5 years ago
- A novel general non-stationary point process model based on neural networks.☆10Sep 23, 2022Updated 3 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated 2 years ago
- Curso completo de Econometría con Stata. Comprende Econometría de corte transversal, series de tiempo, panel de datos y Econometría espac…☆10Sep 19, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A basic and essential code to teach Python☆12Mar 27, 2023Updated 3 years ago
- Here you can find the scripts we used in our tutorial "Falling in love with R". You can look for them in our Youtube or Facebook page: Wi…☆12May 13, 2022Updated 4 years ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆31Apr 11, 2024Updated 2 years ago
- [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting☆237Oct 27, 2025Updated 9 months ago
- Repo que almacena todas las clases.☆21Jan 14, 2026Updated 6 months ago
- Pytorch implementation of HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models☆28Mar 22, 2024Updated 2 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Sep 3, 2024Updated last year
- ☆11Jul 22, 2023Updated 3 years ago
- Community sources subtitles for videos on the Julia Languages YouTube channel☆16Jan 31, 2022Updated 4 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.
- A simple, easy, and flexible way of estimating Bayesian VARs taking into consideration the pandemic period, as a Minnesota prior with tim…☆10May 28, 2024Updated 2 years ago
- ☆10Nov 27, 2017Updated 8 years ago
- ☆14Sep 7, 2020Updated 5 years ago
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆61Dec 28, 2024Updated last year
- A Python-based web scraping tool utilizing Selenium to extract financial data from the Peruvian Ministry of Economy and Finance (MEF) web…☆12Nov 24, 2025Updated 8 months ago
- Code for experiments to learn uncertainty☆31Mar 16, 2023Updated 3 years ago
- Computational Economics Course 2020 by Kenneth Judd☆11Feb 17, 2020Updated 6 years ago
- ☆20Apr 10, 2019Updated 7 years ago
- Material for the YouTube course "Data Science using Stata: Complete Beginners Course", which is available on my channel YUNIKARN.☆12Sep 18, 2023Updated 2 years ago
- 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.
- UE5 Neurogame Template using Neurosity and experimental NodeJS plugin. See how the Javascript can be used to get information from your Ne…☆13Jul 31, 2023Updated 3 years ago
- NeurIPS 2023 - Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer☆49Mar 29, 2024Updated 2 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Apr 16, 2021Updated 5 years ago
- The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).☆27Jul 20, 2022Updated 4 years ago
- ☆11May 26, 2023Updated 3 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- R wrapper for georef-ar API. https://georef-ar-api.readthedocs.io/es/latest/☆14May 27, 2023Updated 3 years ago
- This is the official source code for Sequential Neural Processes.☆42Dec 8, 2022Updated 3 years ago
- Cursos y talleres sobre matemática, computación y estadística☆11Dec 13, 2025Updated 7 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.
- ☆10Sep 14, 2022Updated 3 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 3 years ago
- Status: Technical Preview☆16Jun 13, 2026Updated last month
- We got a stew going!☆27Oct 3, 2023Updated 2 years ago
- Tutorials for the 2021 ML4Seismic Partners Meeting☆14Dec 13, 2024Updated last year
- Bayesian Low-Rank Adaptation for Large Language Models☆41Jun 22, 2024Updated 2 years ago
- ☆11Nov 19, 2025Updated 8 months ago