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 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
- ☆18Sep 3, 2024Updated last year
- Optimization algorithm which fits a ResNet to CIFAR-10 5x faster than SGD / Adam (with terrible generalization)☆14Oct 20, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [NeurIPS 2025] Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting☆21Jan 8, 2026Updated 6 months ago
- A diffusion-based framework for spatio-temporal point processes☆78Mar 25, 2024Updated 2 years ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆31Apr 11, 2024Updated 2 years 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
- ☆10Nov 27, 2017Updated 8 years ago
- Mathematica notebook for constrained Delaunay triangulation of curves from SVG files.☆13Jun 24, 2025Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆117Dec 13, 2024Updated last year
- ☆10Jul 12, 2019Updated 7 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.
- ☆46Oct 13, 2023Updated 2 years ago
- Optimisation of wastewater treatment strategies based on mixed integer linear programming☆11Jul 16, 2020Updated 6 years ago
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆78Apr 3, 2026Updated 3 months ago
- Code for experiments to learn uncertainty☆31Mar 16, 2023Updated 3 years ago
- ☆11Jun 2, 2021Updated 5 years ago
- 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 2 years ago
- ☆11May 26, 2023Updated 3 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- Functions and classes for doing Gaussian process models of proteins☆11Apr 13, 2018Updated 8 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆21Aug 6, 2019Updated 6 years ago
- Library for working with simplicial and cubical complexes☆10Dec 29, 2024Updated last year
- ☆10Sep 14, 2022Updated 3 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 3 years ago
- We got a stew going!☆27Oct 3, 2023Updated 2 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- Reference implementation of Thin and Deep Gaussian Processes (NeurIPS 2023)☆14Nov 25, 2024Updated last year
- Bayesian Low-Rank Adaptation for Large Language Models☆41Jun 22, 2024Updated 2 years ago
- Adapt Newson and Krumm's classic 2009 paper, "Hidden Markov Map Matching Through Noise and Sparseness," for particle filters.☆12Apr 11, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆14Jan 7, 2025Updated last year
- A GPU-parallel implementation of Marching Cubes in Vulkan☆22Apr 23, 2024Updated 2 years ago
- Learning diverse options through the Laplacian representation.☆23Jan 5, 2024Updated 2 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆11May 8, 2018Updated 8 years ago
- Jax like function transformation engine but micro, microjax☆34Oct 25, 2024Updated last year
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Nov 2, 2017Updated 8 years ago
- ☆68Aug 16, 2024Updated last year