Probabilistic Inference Course, Department of Computing, Imperial College London, Spring 2023.
☆18Jan 28, 2025Updated last year
Alternatives and similar repositories for probinf-spring-2023
Users that are interested in probinf-spring-2023 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 doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Feb 11, 2024Updated 2 years ago
- Cost-aware Bayesian optimization via the Pandora's box Gittins index☆13Aug 8, 2025Updated 10 months ago
- The MATLAB code below implements the second-order SPSA (simultaneous perturbation stochastic approximation) and second-order SG (stochast…☆13Nov 27, 2020Updated 5 years ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- Bibliography files of major CS conferences☆30Jun 20, 2020Updated 5 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.
- ☆14Jun 30, 2017Updated 8 years ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆13May 8, 2019Updated 7 years ago
- Implementations of various random kitchen sinks algorithms.☆14Feb 25, 2020Updated 6 years ago
- ☆11Feb 8, 2023Updated 3 years ago
- Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation☆10May 20, 2021Updated 5 years ago
- Machine Learning for Hidden Physics and Partial Differential Equations☆10Jun 5, 2019Updated 7 years ago
- A software package for flexible HPC GPs☆16Updated this week
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- Gaussian processes regression models with linear inequality constraints☆16Jul 10, 2024Updated last year
- 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.
- Modular pipeline for design assistance. PYPi Package: https://pypi.org/project/vai-lab☆14Dec 22, 2023Updated 2 years ago
- Statistical Learning R Labs☆13Oct 26, 2025Updated 7 months ago
- NeurIPS 2019 Paper☆12Dec 9, 2019Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 7 years ago
- Bayesian active learning with EPIG data acquisition☆41Sep 4, 2025Updated 9 months ago
- ☆18Oct 23, 2024Updated last year
- ☆19Oct 27, 2020Updated 5 years ago
- ☆14Feb 20, 2026Updated 3 months ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Sep 30, 2022Updated 3 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.
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Aug 5, 2025Updated 10 months ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆16Feb 24, 2025Updated last year
- Qwen3-0.6B megakernel: 527 tok/s decode on RTX 3090 (3.8x faster than PyTorch)☆110Feb 10, 2026Updated 4 months ago
- ☆16Sep 7, 2023Updated 2 years ago
- Gaussian process modeling in R☆16Nov 20, 2022Updated 3 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Feb 9, 2024Updated 2 years ago
- A Python package for PME (Public Market Equivalent) calculation☆13Jan 16, 2026Updated 5 months ago
- Yet Another Introduction to Quantum Computing☆14Oct 27, 2025Updated 7 months ago
- My code repo for random-walks.org☆16Feb 1, 2026Updated 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. Zero configuration with optimized deployments.
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Mar 7, 2023Updated 3 years ago
- ☆18Mar 11, 2026Updated 3 months ago
- Modern Gaussian Processes: Scalable Inference and Novel Applications☆20Jul 13, 2019Updated 6 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Dec 26, 2022Updated 3 years ago
- Code accompanying https://arxiv.org/abs/1802.02219☆20Oct 5, 2022Updated 3 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 9 years ago
- An R package providing a unified interface to several dose-finding trial methodologies☆17Oct 8, 2025Updated 8 months ago