Queimo

ac-bo-hackathon.github.io

botorch

Bayesian optimization in PyTorch

Graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

image-split-with-overlap

Split any image with any degree of overlap.

pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

Queimo.github.io

RAHMBO

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

robust_mobo

Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"

sgnn_lrp_via_mp

Queimo/Queimo.github.io

Queimo/ac-bo-hackathon.github.io

Queimo/botorch

Bayesian optimization in PyTorch

Queimo/Graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

Queimo/image-split-with-overlap

Split any image with any degree of overlap.

Queimo/pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

Queimo/RAHMBO

Queimo/ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Queimo/robust_mobo

Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"

Queimo/sgnn_lrp_via_mp