GitHub topics: gpytorch
AhmetZamanis/DeepLearningEnergyForecasting
Time series forecasting on an hourly energy dataset, with LSTM & Transformer models implemented in PyTorch Lightning. Deployment of the Transformer model using Docker, with GPU support.
Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: 17 days ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

JBris/zero-inflated-gaussian-processes
Latent gaussian processes for zero inflated count data.
Language: HTML - Size: 526 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

dmosopt/dmosopt
Distributed surrogate-assisted evolutionary methods for multi-objective optimization of high-dimensional dynamical systems
Language: Python - Size: 1.06 MB - Last synced at: 10 days ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 4

Cef0PT/famgpytorch
An implementation of an approximated RBF kernel using GPyTorch
Language: Jupyter Notebook - Size: 9.18 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Unco3892/UncertaintyPlayground
A Fast and Simplified Python Library for Uncertainty Estimation
Language: Python - Size: 1.45 MB - Last synced at: 25 days ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

yucho147/GP
We have created a module to run the Gaussian process model. We have implemented the code based on GPyTorch.
Language: Python - Size: 852 KB - Last synced at: 5 days ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 1

JBris/aws-ray-cluster
Testing deployment of a Ray cluster on AWS
Language: Python - Size: 1.96 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

BayesWatch/deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Language: Python - Size: 641 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 202 - Forks: 30

joseph-nagel/gaussian-processes
Gaussian process explorations
Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

elcorto/gp_playground
Explore selected topics related to Gaussian processes
Language: Python - Size: 57.8 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

JBris/prefect-surrogate-models
Demonstrating the use of Prefect to orchestrate the creation of machine learning surrogate models as applied to mechanistic crop models.
Language: HTML - Size: 7.11 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

Devin-Taylor/gpcnn
Uncertainty in convolutional neural network predictions using Gaussian processes
Language: Python - Size: 41 KB - Last synced at: 6 months ago - Pushed at: 11 months ago - Stars: 6 - Forks: 0

hanyuanz2000/Sparse-Gaussian-Process-for-Missing-Heart-Rate-Data-Imputation
Explores the application of Gaussian Process (GP) and sparse GP algorithms to handle missing heart rate time series dataset. Our findings emphasize the importance of kernel selection, specifically the RBF kernel, and the careful tuning of hyperparameters to achieve optimal performance in imputation tasks
Language: Jupyter Notebook - Size: 61 MB - Last synced at: 24 days ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1

JBris/deepgp_eval
Evaluating Deep Gaussian processes
Language: Jupyter Notebook - Size: 214 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

HariKrishnan06082k/Robot-Learning-for-Planning-and-Control
Topics include function approximation, learning dynamics, using learned dynamics in control and planning, handling uncertainty in learned models, learning from demonstration, and model-based and model-free reinforcement learning.
Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

supersjgk/Cyclist_Stress
Implementation of Cyclist Pressure Research Paper
Language: Python - Size: 24.4 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

silvery107/bayesian-opt-gpytorch
Bayesian Optimization for MPPI Control of Robot Arm Planar Pushing
Language: Python - Size: 26.3 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

smsharma/gamma-gp
Proof-of-principle application of Gaussian process modeling to gamma-ray analyses. Code repository associated with the paper https://arxiv.org/abs/2010.10450.
Language: Jupyter Notebook - Size: 27.5 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

nonconvexopt/pytorch-SSGE
Unofficial PyTorch Reimplementation of the Spectral Stein Gradient Estimator, compatiable to use gpytorch kernel modules.
Language: Jupyter Notebook - Size: 153 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

mbiparva/ax-bo-image-classification
Hyperpatameter Bayesian Optimization for Image Classification in PyTorch
Language: Python - Size: 15.6 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 9 - Forks: 1

SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
Language: Python - Size: 14.9 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 76 - Forks: 10

stanbiryukov/apollo
Highly performant and scalable out-of-the-box gaussian process regression and Bernoulli classification. Built upon GPyTorch, with a familiar sklearn api.
Language: Python - Size: 35.2 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

aswathyrk93/LAMP_CODE
Contains code for Adaptive protection platform in Smart grids
Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

TheJacksonLab/ECG_ActiveLearning
Dataset and code for "Coarse-Grained Density Functional Theory Predictions via Deep Kernel Learning"
Language: Python - Size: 47.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

richardcsuwandi/gp
Implementation of Gaussian Process (GP) models using GPyTorch.
Language: Jupyter Notebook - Size: 35.2 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

wearepal/ethicml-models
Models for EthicML
Language: Jupyter Notebook - Size: 15.1 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
