deep-kernel-learning

There are 0 repository under deep-kernel-learning topic.

hoangcuong2011 / Good-Papers
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
deep-learning machine-learning natural-language-processing computer-vision gaussian-processes variational-autoencoders neural-machine-translation neural-network convolutional-networks semi-supervised-learning variational-inference kernel-learning representation-learning deep-kernel-learning
280
BayesWatch / deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
gaussian-processes few-shot-learning bayesian-methods deep-learning deep-kernel-learning one-shot-learning kernel-methods classification regression gpytorch kernel shot-learning uncertainty-quantification uncertainty paper meta-learning kernels
Language:Python 190
gpax
ziatdinovmax / gpax
Gaussian Processes for Experimental Sciences
gaussian-processes bayesian-inference machine-learning active-learning bayesian-optimization deep-kernel-learning hypothesis-learning bayesian-neural-networks multi-fidelity-learning
Language:Python 178
atomai
pycroscopy / atomai
Deep and Machine Learning for Microscopy
microscopy materials machine-learning materials-science deep-learning multivariate-analysis fully-convolutional-networks variational-autoencoders ensemble-learning google-colaboratory jupyter-notebook pytorch semantic-segmentation electron-microscopy scanning-probe-microscopy deep-kernel-learning imaging
Language:Python 177
maka89 / Deep-Kernel-GP
Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
machine-learning neural-network neural-networks deep-kernel-learning deep-learning deep-neural-networks deeplearning gaussian-processes gp-regression dkl
Language:Python 90
IdanAchituve / GDKL
Code that accompanies the paper Guided Deep Kernel Learning
deep-kernel-learning gaussian-processes infinite-width neural-network-gaussian-process
Language:Python 10
releaunifreiburg / DyHPO
[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
convolutional-neural-networks deep-kernel-learning deep-learning gaussian-processes grey-box hpo hyperparameter-optimization multi-armed-bandits multi-fidelity neural-networks deep-kernel-gps neurips-2022 state-of-the-art
Language:Python 10
TheJacksonLab / ECG_ActiveLearning
Dataset and code for "Coarse-Grained Density Functional Theory Predictions via Deep Kernel Learning"
expected-model-output-changes deep-kernel-learning active-learning electronic-coarse-graining gaussian-processes gpytorch a100 dgx-a100 pytorch nvidia
Language:Python 5
JBris / deepgp_eval
Evaluating Deep Gaussian processes
bayesian bayesian-inference deep-gaussian-processes deep-kernel-learning deep-learning gaussian-processes bayesian-gaussian-processes sk2torch gpytorch nuts pyro
Language:Jupyter Notebook 1
NeelKanwal / DeepKernelLearning
This repository contains code for paper: "Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images."
computational-pathology dcnn-architectures deep-kernel-learning deeplearning probablistic-machine-learning python artifact-detection
Language:Python 1