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 4 years ago
- A novel general non-stationary point process model based on neural networks.☆10Sep 23, 2022Updated 3 years ago
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated last year
- 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
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Oct 27, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- ☆17Sep 3, 2024Updated last year
- Toy distributed PostgreSQL by implementing SQL over KV☆11Jan 14, 2026Updated 2 months ago
- Optimization algorithm which fits a ResNet to CIFAR-10 5x faster than SGD / Adam (with terrible generalization)☆14Oct 20, 2023Updated 2 years ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆31Apr 11, 2024Updated last year
- Generative cellular automaton-like learning environments for RL.☆20Jan 30, 2025Updated last year
- Simple training pipeline for NN models required for motion matching in UE5.☆15Apr 22, 2024Updated last year
- ☆10Nov 27, 2017Updated 8 years ago
- ☆45Oct 13, 2023Updated 2 years ago
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- ☆10Jul 12, 2019Updated 6 years ago
- ☆14Sep 7, 2020Updated 5 years ago
- Optimisation of wastewater treatment strategies based on mixed integer linear programming☆11Jul 16, 2020Updated 5 years ago
- ☆11Jun 2, 2021Updated 4 years ago
- The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).☆27Jul 20, 2022Updated 3 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12May 25, 2022Updated 3 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Apr 16, 2021Updated 4 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 2 years ago
- NeurIPS 2023 - Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer☆46Mar 29, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Software artifacts and Demos for CS639 (Spring 2020) "Parallel and Throughput-Optimized Programming"☆17Apr 23, 2020Updated 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
- Official code repository for the ICLR 2022 paper "You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction".☆14Jul 25, 2024Updated last year
- This is the official source code for Sequential Neural Processes.☆41Dec 8, 2022Updated 3 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Dec 1, 2023Updated 2 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- Python implementation of the quaternion based complementary filter described in https://www.mdpi.com/1424-8220/15/8/19302☆12Nov 17, 2023Updated 2 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 2 years ago
- ☆11Nov 19, 2025Updated 4 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Library for working with simplicial and cubical complexes☆10Dec 29, 2024Updated last year
- Implement Fluid Simulation (FLIP) on Unreal Engine 5 with NVIDIA GVDB Library☆13Nov 30, 2023Updated 2 years ago
- Reference implementation of Thin and Deep Gaussian Processes (NeurIPS 2023)☆14Nov 25, 2024Updated last year
- Adapt Newson and Krumm's classic 2009 paper, "Hidden Markov Map Matching Through Noise and Sparseness," for particle filters.☆12Apr 11, 2020Updated 5 years ago
- Bayesian Low-Rank Adaptation for Large Language Models☆40Jun 22, 2024Updated last year
- Spatial Interpolation in Python☆13Oct 28, 2023Updated 2 years ago
- ☆16Jun 27, 2025Updated 9 months ago