rubinxin

CoCaBO_code

Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)

BayesOpt_Attack

Targeted black-box adversarial attack using Bayesian Optimization

TSE

vega_NAGO

AutoML tools chain

asynchronous-BO

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

HMC_BNN

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

pybnn

Bayesian neural network package

BNN_BO

Implement BO with BNNs and GPs

BNN_Keras

Try out keras BNN implementations

ImageStitching

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

academic-robin

adversarial_genattack

bgpbt

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

BNN_Torch

Torch Implementation of BNN

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

HPO_Toolkit_LQ

image_stitching

ip_basic

Image Processing for Basic Depth Completion

Modeling-Uncertainty-Local-Explainability

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)

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

randomNAS_release

Code release for paper "Random Search and Reproducibility for NAS"

SNAS-Series

This repo contains the PyTorch implementation of the SNAS-Series papers

SoTL

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

zero-cost-nas

Zero-Cost Proxies for Lightweight NAS