Name: Ryan-Rhys Griffiths
Type: User
Company: FutureHouse Inc.
Bio: Research Scientist @Future-House | Ex Postdoc @ Meta | PhD - Machine Learning and Physics @ Cambridge University | Ex MILA | Ex Huawei Noah's Ark Lab
Twitter: ryan__rhys
Location: San Francisco
Ryan-Rhys Griffiths's Projects
Adaptive Experimentation Platform
Bayesian optimization in PyTorch
Code to accompany the paper "Constrained Bayesian Optimisation for Automatic Chemical Design" https://pubs.rsc.org/en/content/articlehtml/2019/sc/c9sc04026a
Gaussian process modelling of lightcurves from Cyg-X1
Library for training Gaussian Processes on Molecules
The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.
Bayesian optimisation library developped by Huawei Noah's Ark Library
Heteroscedastic Bayesian Optimisation in BoTorch
Heteroscedastic Bayesian Optimisation in Numpy
Modelling the Multiwavelength Variability of Mrk-335 using Gaussian processes
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.
Noah Research
List of molecular design using Generative AI and Deep Learning
An Implementation of PILCO: Probabilistic Inference for Learning Control
Repository containing a benchmark dataset for machine learning property prediction of photoswitch molecules: https://pubs.rsc.org/en/content/articlehtml/2022/sc/d2sc04306h