Code that accompanies the paper Guided Deep Kernel Learning
☆10Jul 2, 2023Updated 2 years ago
Alternatives and similar repositories for GDKL
Users that are interested in GDKL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Interactive textbook on state space models☆12Apr 11, 2022Updated 4 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
- 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
- Exact Hamiltonian Monte Carlo Sampler for Truncated Multivariate Gaussians☆12Feb 11, 2020Updated 6 years ago
- Spatial Interpolation in Python☆13Oct 28, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning☆34May 12, 2022Updated 3 years ago
- ☆11Oct 15, 2025Updated 6 months ago
- Volterra Integral Equation Solver☆12Feb 3, 2016Updated 10 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Mar 31, 2021Updated 5 years ago
- Jax SSM Library☆48Nov 24, 2022Updated 3 years ago
- Integrals of Gaussians under linear domain constraints☆15Feb 27, 2020Updated 6 years ago
- Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019☆14Jun 17, 2024Updated last year
- Code for the paper "SelectiveNet: A Deep Neural Network with an Integrated Reject Option"☆12Jan 26, 2019Updated 7 years ago
- Practically and asymptotically accurate conditional sampling from diffusion generative models without conditional training☆47Nov 24, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆17Aug 7, 2022Updated 3 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Sep 26, 2023Updated 2 years ago
- Augmenting engineering workflows with Probabilistic Machine Learning☆10Feb 9, 2026Updated 2 months ago
- Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]☆24Jan 10, 2025Updated last year
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆59Nov 1, 2023Updated 2 years ago
- Official implementation of GPX: Gaussian Process Regression with Interpretable Sample-wise Feature Weights (published on TNNLS)☆17Feb 8, 2022Updated 4 years ago
- Code that accompanies the paper Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning - Accepted to ICML2024☆15May 8, 2025Updated 11 months ago
- Companion code to CoRL 2019 paper: E Bıyık, M Palan, NC Landolfi, DP Losey, D Sadigh. "Asking Easy Questions: A User-Friendly Approach to…☆18Oct 13, 2020Updated 5 years ago
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance -- Analyze Big Financial Data by Yves Hilp…☆15Nov 16, 2017Updated 8 years ago
- Code for our paper "Fixed-point Inversion for Text-to-image diffusion models"☆19Oct 13, 2024Updated last year
- The official codebase for Capturing label characteristics in VAEs☆14Mar 25, 2021Updated 5 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Apr 4, 2019Updated 7 years ago
- Evaluation of Hybrid MODWT-MARS framework for financial time series forecasting☆18Sep 23, 2024Updated last year
- ☆191Jan 9, 2026Updated 3 months ago
- DeepEarth: AI Foundation Model for Planetary Science & Sustainability☆28Apr 9, 2026Updated last week
- Repository for tutorial on Neural ODEs prepared for the UCL AI Society☆13Mar 7, 2021Updated 5 years ago
- OpenAI's cartpole env solver.☆18Nov 20, 2018Updated 7 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.
- PHBS 2018 Machine Learning Class Project☆14Jun 19, 2018Updated 7 years ago
- Deep Optimal Stopping Project☆16Jun 8, 2019Updated 6 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆27Apr 6, 2021Updated 5 years ago
- The PyGpPhs package is designed for utilizing Gaussian Process for port-Hamiltonian system.☆11May 6, 2024Updated last year
- Analysis of various climatological times series using Continuous Wavelets Transform☆17Jan 4, 2018Updated 8 years ago
- Neural Diffusion Processes☆83Aug 4, 2024Updated last year
- Repo for iPython Notebooks from allofyourbases.wordpress.com☆11Oct 8, 2018Updated 7 years ago