Modern Gaussian Processes: Scalable Inference and Novel Applications
☆20Jul 13, 2019Updated 7 years ago
Alternatives and similar repositories for gaussianprocesses
Users that are interested in gaussianprocesses are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Bayesian Optimization with Density-Ratio Estimation☆23Dec 26, 2022Updated 3 years ago
- Fast Gaussian-process inference using Vecchia approximations☆23Jan 29, 2026Updated 6 months ago
- ☆11Mar 13, 2023Updated 3 years ago
- Code and pretrained models accompanying the paper "Ensembling geophysical models using Bayesian Neural Networks"☆10Jul 11, 2022Updated 4 years ago
- Python Library for Generalized Gaussian Process Modeling☆28Jul 22, 2026Updated last week
- 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.
- ☆11Nov 13, 2021Updated 4 years ago
- Bayesian optimized physics-informed neural network for parameter estimation☆33Nov 20, 2024Updated last year
- ☆14Mar 15, 2019Updated 7 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Apr 23, 2025Updated last year
- Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"☆12Jan 17, 2023Updated 3 years ago
- The PyGpPhs package is designed for utilizing Gaussian Process for port-Hamiltonian system.☆11May 6, 2024Updated 2 years ago
- Source code and data files for "PEMT: A patent enrichment tool with applicability in drug discovery"☆17Jan 27, 2025Updated last year
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- Code for Expert Supervised Reinforcement Learning☆10Apr 7, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- PyTorch Implementations of Augmented Random Search☆17Feb 28, 2019Updated 7 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆43Jul 17, 2025Updated last year
- We present cod-bench containing 12 operators and 10 datasets.☆11Jun 5, 2024Updated 2 years ago
- Repository for tutorial on Neural ODEs prepared for the UCL AI Society☆13Mar 7, 2021Updated 5 years ago
- ☆14Jun 30, 2017Updated 9 years ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆13May 8, 2019Updated 7 years ago
- Network representation learning on drug-target-side effects-indication graphs for side effect prediction☆13Feb 4, 2020Updated 6 years ago
- ☆12Jan 16, 2024Updated 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.
- Code, data, and pre-trained models for the paper "Continuous Latent Process Flows" (NeurIPS 2021)☆12Dec 13, 2021Updated 4 years ago
- STV vote counting for various actual jurisdictions.☆17May 19, 2026Updated 2 months ago
- Code related to different aspects of conformal learning☆18Jan 28, 2025Updated last year
- Implementation of the "Sim-to-Real Transfer of Robotic Control with Dynamics Randomization" paper☆13Sep 8, 2021Updated 4 years ago
- Modular pipeline for design assistance. PYPi Package: https://pypi.org/project/vai-lab☆14Dec 22, 2023Updated 2 years ago
- NUBO is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions developed by the Fluid Dynami…☆14Sep 11, 2025Updated 10 months ago
- Repo for iPython Notebooks from allofyourbases.wordpress.com☆11Oct 8, 2018Updated 7 years ago
- A grid for modelling, analyse, map and visualise multidimensional and multivariate data☆20Dec 10, 2025Updated 7 months ago
- ☆16Oct 18, 2024Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Dec 17, 2019Updated 6 years ago
- Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation☆10May 20, 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
- From simulation to real world using deep generative models☆19Sep 30, 2018Updated 7 years ago
- Mathematical Modeling Toolbox with R☆19Updated this week
- Statistical Learning R Labs☆13Oct 26, 2025Updated 9 months ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆18Oct 21, 2022Updated 3 years ago