Ryan-Rhys Griffiths's repositories

The-Photoswitch-Dataset

Repository containing a benchmark dataset for machine learning property prediction of photoswitch molecules: https://pubs.rsc.org/en/content/articlehtml/2022/sc/d2sc04306h

Language:PythonLicense:MITStargazers:81Issues:7Issues:1

Constrained-Bayesian-Optimisation-for-Automatic-Chemical-Design

Code to accompany the paper "Constrained Bayesian Optimisation for Automatic Chemical Design" https://pubs.rsc.org/en/content/articlehtml/2019/sc/c9sc04026a

FlowMO

Library for training Gaussian Processes on Molecules

Language:PythonLicense:MITStargazers:36Issues:2Issues:4

Heteroscedastic-BO

Heteroscedastic Bayesian Optimisation in Numpy

Mrk_335

Modelling the Multiwavelength Variability of Mrk-335 using Gaussian processes

Language:PythonLicense:MITStargazers:12Issues:3Issues:0
Language:Jupyter NotebookLicense:MITStargazers:4Issues:1Issues:0

PILCO

An Implementation of PILCO: Probabilistic Inference for Learning Control

Language:PythonLicense:MITStargazers:2Issues:2Issues:0

Cyg_X1

Gaussian process modelling of lightcurves from Cyg-X1

Language:PythonLicense:MITStargazers:1Issues:2Issues:0

Nanoparticle-Systems-Interaction-Potential-Computation

A collection of Python scripts for computing the interaction potential energy profiles in nanoparticle systems including, but not limited to, nanoparticle-electrode ensembles. The two principle forces accounted for in the computations are the Coulombic interactions between dissociated charge-bearing ligands functionalising the surface of the nanoparticles in addition to intrinsic van der Waals forces between the metal cores of the nanoparticles.

Language:HTMLLicense:MITStargazers:0Issues:0Issues:0

Ax

Adaptive Experimentation Platform

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

botorch

Bayesian optimization in PyTorch

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

genedisco-starter

The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

HEBO

Bayesian optimisation library developped by Huawei Noah's Ark Library

Language:PythonStargazers:0Issues:1Issues:0

Heteroscedastic-BayesOpt

Heteroscedastic Bayesian Optimisation in BoTorch

Language:PythonLicense:MITStargazers:0Issues:3Issues:0
Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

noah-research

Noah Research

Language:PythonStargazers:0Issues:1Issues:0

papers-for-molecular-design-using-DL

List of molecular design using Generative AI and Deep Learning

License:GPL-3.0Stargazers:0Issues:0Issues:0