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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

Related Keywords
gpytorch 26 gaussian-processes 20 pytorch 11 deep-learning 4 deep-kernel-learning 3 gaussian-process-regression 3 uncertainty 3 regression 3 machine-learning 3 gaussian-process 2 sklearn 2 botorch 2 paper 2 docker 2 pyro 2 bayesian-optimization 2 bayesian-methods 2 mppi 2 mlops 2 python 2 scikit-learn 2 timeseries 1 mnist 1 variance 1 bayesian 1 bayesian-gaussian-processes 1 bayesian-inference 1 deep-gaussian-processes 1 nuts 1 sk2torch 1 model-predictive-controller 1 robot-learning 1 robot-manipulation 1 cnn 1 variational-inference 1 variational-bayes 1 surrogate-models 1 surrogate-based-optimization 1 process-modeling 1 prefect-agent 1 prefect 1 pcse 1 mlflow-tracking-server 1 mlflow 1 minio 1 mechanistic-models 1 dvc 1 docker-compose 1 model-predictive-control 1 pytorch-implementation 1 reinforcement-learning 1 kriging 1 1d-cnn 1 cnn-keras 1 fault-classification 1 fault-detection 1 smartgrid 1 svm-classifier 1 topology-estimation 1 unsupervised-learning 1 a100 1 active-learning 1 dgx-a100 1 electronic-coarse-graining 1 expected-model-output-changes 1 nvidia 1 fairness 1 trajectory-optimization 1 vae-implementation 1 contrastive-loss 1 unsupervised-domain-adaptation 1 warped-gaussian-process 1 fermi 1 gamma-ray 1 gce 1 gp 1 ml4ps 1 neurips 1 probabilistic-programming 1 adaptive-experimentation-platform 1 ax-parametrization 1 configuration-hyperparameters 1 hyperparameters 1 image-classification 1 control-animation 1 model-based-reinforcement-learning 1 zero-inflated-negative-binomial 1 zero-inflation 1 zinb 1 zinb-model 1 zip 1 zip-model 1 cmaes 1 distributed 1 distributed-computing 1 evolution-strategies 1 evolutionary-algorithms 1 gpflow 1 mpi 1 mpi-applications 1