rubinxin

asynchronous-BO

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

BayesOpt_Attack

Targeted black-box adversarial attack using Bayesian Optimization

BNN_BO

Implement BO with BNNs and GPs

BNN_Keras

Try out keras BNN implementations

CoCaBO_code

Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)

FITBO

Code for Fast Information-theoretic Bayesian Optimisation

HMC_BNN

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

pybnn

Bayesian neural network package

TSE

vega_NAGO

AutoML tools chain

rubinxin/CoCaBO_code

Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)

rubinxin/BayesOpt_Attack

Targeted black-box adversarial attack using Bayesian Optimization

rubinxin/TSE

rubinxin/vega_NAGO

AutoML tools chain

rubinxin/asynchronous-BO

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

rubinxin/HMC_BNN

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

rubinxin/pybnn

Bayesian neural network package

rubinxin/BNN_BO

Implement BO with BNNs and GPs

rubinxin/BNN_Keras

Try out keras BNN implementations

rubinxin/ImageStitching

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

rubinxin/academic-robin

rubinxin/adversarial_genattack

rubinxin/bgpbt

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

rubinxin/BNN_Torch

Torch Implementation of BNN

rubinxin/gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

rubinxin/HesBO

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

rubinxin/HPO_Toolkit_LQ

rubinxin/image_stitching

rubinxin/ip_basic

Image Processing for Basic Depth Completion

rubinxin/Modeling-Uncertainty-Local-Explainability

rubinxin/nas_benchmarks

rubinxin/nasbench

NASBench: A Neural Architecture Search Dataset and Benchmark

rubinxin/nasbench301

rubinxin/nasbowl

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

rubinxin/once-for-all

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

rubinxin/randomNAS_release

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

rubinxin/SNAS-Series

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

rubinxin/SoTL

rubinxin/transferlearning

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

rubinxin/zero-cost-nas

Zero-Cost Proxies for Lightweight NAS