Gaussian Process Regression for training data with noisy inputs and/or outputs
☆10Mar 22, 2017Updated 9 years ago
Alternatives and similar repositories for noisy-gp
Users that are interested in noisy-gp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Batch and incremental Sparse Spectrum Gaussian Process for Regression☆10Mar 16, 2021Updated 5 years ago
- Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014…☆16Aug 4, 2017Updated 8 years ago
- ☆11Feb 6, 2018Updated 8 years ago
- Sparse Spectrum Gaussian Process Regression☆25Feb 26, 2020Updated 6 years ago
- Classes for controlling dynamic range of audio.☆22Feb 11, 2023Updated 3 years ago
- 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.
- Implementation of Bayesian Sum-Product Networks☆13May 19, 2020Updated 5 years ago
- Exact nearest neighbor searching for various Euclidean, SO(3), SE(3) and weighted combinations thereof.☆10Oct 5, 2018Updated 7 years ago
- Geometry generation/planning for robotically assembled spatial structures☆14Mar 23, 2023Updated 3 years ago
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Jun 27, 2015Updated 10 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 4 years ago
- Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"☆10Feb 16, 2023Updated 3 years ago
- This repository hosts an advanced ROS2 package designed to seamlessly integrate WebRTC into robotic applications. Its primary purpose is …