Dcankaran

baybe

A Bayesian Back End for Design of Experiments

Constrained-Multi-Objective-Optimization-for-Materials-Discovery

DGEMO

[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

Discrete-temporal

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

lmfit-bo

robust_mobo

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

shap

A game theoretic approach to explain the output of any machine learning model.

summit

Optimising chemical reactions using machine learning

wandb

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Dcankaran/baybe

A Bayesian Back End for Design of Experiments

Dcankaran/Constrained-Multi-Objective-Optimization-for-Materials-Discovery

Dcankaran/DGEMO

[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

Dcankaran/Discrete-temporal

Dcankaran/hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

Dcankaran/lmfit-bo

Dcankaran/robust_mobo

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

Dcankaran/shap

A game theoretic approach to explain the output of any machine learning model.

Dcankaran/summit

Optimising chemical reactions using machine learning

Dcankaran/wandb

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.