Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)
☆18Nov 10, 2017Updated 8 years ago
Alternatives and similar repositories for GPML_SLD
Users that are interested in GPML_SLD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Scalable Gaussian Process Regression with Derivatives☆39Dec 13, 2018Updated 7 years ago
- Additive Gaussian Process Bandits - version 1.0☆29Nov 29, 2016Updated 9 years ago
- Numpy compatible polynomial representation☆16Jul 26, 2026Updated last month
- A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis☆21May 8, 2018Updated 8 years ago
- LBP+ELM应用于高光谱的分类器☆11Oct 27, 2017Updated 8 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.
- Band selection and classification of hyperspectral images using Multi-objective Genetic Algorithms☆14Jan 18, 2019Updated 7 years ago
- A SVR implementation using MATLAB quadprog☆11Aug 29, 2017Updated 9 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆11Aug 20, 2018Updated 8 years ago
- Blind Justice Code for the paper "Blind Justice: Fairness with Encrypted Sensitive Attributes", ICML 2018☆14Mar 20, 2019Updated 7 years ago
- ☆13Feb 17, 2018Updated 8 years ago
- Official implementation of "cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks" (IEEE TMM 2020)☆11Aug 23, 2021Updated 5 years ago
- This project uses Bayesian Optimization to find the optimal hyperparameters for a fully-connected feed-forward neural network used to est…☆11Oct 24, 2020Updated 5 years ago
- MATLAB implementation of my Bayesian Optimization algorithms☆12Mar 17, 2018Updated 8 years ago
- Beta Compositional Model for Hyperspectral Unmixing☆11Apr 12, 2019Updated 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.
- Two multi-objective algorithms with multiple test function options☆13Apr 22, 2018Updated 8 years ago
- ☆33Nov 27, 2017Updated 8 years ago
- An eXtended Center-Symmetric Local Binary Pattern (XCS-LBP) descriptor for background modeling and subtraction in videos.☆16May 9, 2020Updated 6 years ago
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 7 years ago
- These functions are included the "Random Forest" and the hybrid Random Forest and Multi-Objective Particle Swarm Optimization ("RF_MOPSO"…☆17Jul 28, 2022Updated 4 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆96Nov 23, 2017Updated 8 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Aug 23, 2018Updated 8 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Jan 27, 2022Updated 4 years ago
- ☆23Mar 12, 2018Updated 8 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.
- ☆17Nov 17, 2016Updated 9 years ago
- Released code for ICDM 2016 Budgeted Batch Bayesian Optimization☆10Feb 11, 2019Updated 7 years ago
- code for paper "Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification"☆14Mar 27, 2019Updated 7 years ago
- Feature Selection by Optimized LASSO algorithm☆17May 3, 2017Updated 9 years ago
- ☆11Aug 9, 2022Updated 4 years ago
- 这些代码主要面向初学 ArcGIS JS API 4.x 的开发人员。☆15Dec 6, 2022Updated 3 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Jan 2, 2014Updated 12 years ago
- Code for the paper of Scale-Free Convolutional Neural Network for Remote Sensing Scene Classification, which is accepted by IEEE Transact…☆18Apr 1, 2019Updated 7 years ago
- matlab code for the book 《Machine Learning A Bayesian and Optimization》☆18Nov 5, 2018Updated 7 years 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.
- We propose a new variant GAN model to deal with image generation and transformation,especially in facial attributes area.☆12Nov 16, 2017Updated 8 years ago
- Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".☆19May 25, 2018Updated 8 years ago
- Developing a classification algorithm for (HSI) Hyper-spectral image datasets.☆18Aug 17, 2020Updated 6 years ago
- [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions☆20Jul 15, 2022Updated 4 years ago
- Code for the paper "Interpreting and Improving Diffusion Models from an Optimization Perspective", appearing in ICML 2024☆15Sep 30, 2024Updated last year
- Salient Object Detection in Hyperspectral Imagery☆21Sep 14, 2016Updated 9 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆82Feb 22, 2022Updated 4 years ago