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academic-kickstart

Easily create a beautiful website using Academic and Hugo

academic-robin

adversarial_genattack

asynchronous-bo

Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"

autozoom-attack

Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks” ​​​​, published at AAAI 2019

bayesopt_attack

Targeted black-box adversarial attack using Bayesian Optimization

bgpbt

[AutoML'22] Bayesian Generational Population-based Training (BG-PBT)

bnn_bo

Implement BO with BNNs and GPs

bnn_keras

Try out keras BNN implementations

bnn_torch

Torch Implementation of BNN

cocabo_code

Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)

convgp

Convolutional Gaussian processes based on GPflow.

dropoutuncertaintyexps

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

fitbo

Code for Fast Information-theoretic Bayesian Optimisation

gpbo

gpbo

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

hesbo

The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces

hmc_bnn

Approximate BNN using HMC(hamiltorch) or SGHMC(bohamiann)

hpo_toolkit_lq

image_stitching

imagestitching

Conducts image stitching upon an input video to generate a panorama in 3D

info-pack

MATLAB package to estimate mutual information between a multidimensional signal and a discrete signal

ip_basic

Image Processing for Basic Depth Completion

lcbnn

modeling-uncertainty-local-explainability

models

Models and examples built with TensorFlow

nas_benchmarks

nasbench

NASBench: A Neural Architecture Search Dataset and Benchmark

nasbench301

nasbowl

[ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)