Library for Bayesian Quadrature
☆32Apr 2, 2019Updated 7 years ago
Alternatives and similar repositories for bayesquad
Users that are interested in bayesquad are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆19Nov 16, 2023Updated 2 years ago
- Official repository for Cell Attention Networks☆15Jan 11, 2024Updated 2 years ago
- Official codebase for our NeurIPS paper, Symmetry-Informed Governing Equation Discovery.☆11Nov 13, 2024Updated last year
- Spring 2023 seminar on automated experiment☆22Jun 12, 2023Updated 2 years ago
- ☆19Mar 21, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Bayesian optimization with conformal coverage guarantees☆29Oct 28, 2022Updated 3 years ago
- Released code for ICDM 2016 Budgeted Batch Bayesian Optimization☆10Feb 11, 2019Updated 7 years ago
- Official Implementation of "Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning"☆18Feb 11, 2023Updated 3 years ago
- Visualizing the latent space of generative models (VAE and BiGAN implemented here), as in latent vectors of testing images over the induc…☆18Apr 24, 2021Updated 5 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆36May 10, 2023Updated 3 years ago
- Bayesian quadrature☆13Apr 20, 2017Updated 9 years ago
- ☆13Feb 16, 2021Updated 5 years ago
- An R package to help assess the sensitivity of a Bayesian model (fitted with Stan) to the specification of its likelihood and priors☆11Apr 8, 2025Updated last year
- 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.
- L4DC2021 code repository☆14Apr 14, 2021Updated 5 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆22Apr 22, 2024Updated 2 years ago
- GAIL is a suite of algorithms for integration problems in one, many, and infinite dimensions, and whose answers are guaranteed to be corr…☆26Mar 11, 2022Updated 4 years ago
- Official implementation for the paper "Sample-Then-Optimize Batch Neural Thompson Sampling", published at NeurIPS 2022.☆12Oct 13, 2022Updated 3 years ago
- code for BINOCULARS and Multi-Step BO☆12Dec 7, 2020Updated 5 years ago
- Differentiable Euler Characteristic Transform☆17Jun 18, 2024Updated last year
- The repository contains code for the project "Explain the uncertain: Stochastic Shapley Values for Gaussian Process Models"☆16Jul 30, 2024Updated last year
- Bayesian algorithm execution (BAX)☆55Sep 3, 2021Updated 4 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆31Feb 3, 2025Updated 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.
- Bayesian Active Learning with Fully Bayesian Gaussian Processes☆14Sep 29, 2022Updated 3 years ago
- Python package for Preference Learning with Gaussian Processes.☆35Sep 1, 2025Updated 8 months ago
- [ICML2022] Variational Wasserstein gradient flow☆24Oct 17, 2022Updated 3 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Apr 26, 2023Updated 3 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Aug 5, 2025Updated 9 months ago
- A modular hydrodynamic code written in pure Julia☆18Mar 28, 2025Updated last year
- Bayesian optimization of discrete sequences☆21Mar 27, 2022Updated 4 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Aug 8, 2023Updated 2 years ago
- [ICLR 2025] Official code of "Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization"☆18Jun 1, 2024Updated last year
- 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.
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Jun 20, 2023Updated 2 years ago
- ☆11Apr 25, 2025Updated last year
- Friends-of-Friends via spatial hashing☆15May 26, 2023Updated 2 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Mar 29, 2019Updated 7 years ago
- Offline Contextual Bayesian Optimization☆14Jul 20, 2023Updated 2 years ago
- Deep Learning method for intervertebral disc detection and labeling (WIP)☆14May 27, 2020Updated 5 years ago
- The DTFE (Delaunay Triangulation Field Estimator) code for calculating density and velocity fields for astronomical data.☆17Jun 16, 2022Updated 3 years ago