changyong-oh Goto Github PK

add-gp-bandits

Additive Gaussian Process Bandits - version 1.0

autograd

Efficiently computes derivatives of numpy code.

bocs

Bayesian Optimization of Combinatorial Structures

cocabo_code

Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)

dropoutuncertaintyexps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

evolution_strategy

frequencymodulatedkernelbo

gpy

Gaussian processes framework in python

hpolib

HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization packages: SMAC, spearmint and hyperopt. This package is discontinued, please read the longer note in the info box below.

hypersphere

img_classification_pk_pytorch

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

law2order

Repository for Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel, NeurIPS 2022

lgamma

Implementations of polygamma, lgamma, and beta functions for PyTorch

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-es

Evolution Strategies in PyTorch

pytorch-vgg-cifar10

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

radiusdirectionposteriors

rembo

Bayesian optimization in high-dimensions via random embedding.

resnext.pytorch

Reproduces ResNet-V3 with pytorch

sampyl

MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice

spearmint

Spearmint Bayesian optimization codebase