KKaroni

hpc4m_assignment3-team-6

hpc4m_assignment3-team-6 created by GitHub Classroom

jarvis_leaderboard

Explore State-of-the-Art Materials Design Methods: https://arxiv.org/abs/2306.11688

Low-Earth-Orbit

MDAnalysis_ML_workshop

MultirateTrainingOfNNs

Supplement code to our ICML 2022 paper on Multirate Training of Neural Networks

openmm-tutorial-msbs

OpenMM tutorial for the MSBS course

Symmetry-in-Machine-learned-Molecular-Force-Fields

Code

Autoencoders, Restricted Boltzmann Machines and Various Machine Learning Algorithms for Point Clouds.

Code

A data replication method for parallelising a Lennard-Jones potential based molecular dynamics model.

Classification-of-Self-Assembled-Structures-using-Machine-Learning

Autoencoders, Restricted Boltzmann Machines and Various Machine Learning Algorithms for Point Clouds.

KKaroni/hpc4m_assignment3-team-6

hpc4m_assignment3-team-6 created by GitHub Classroom

KKaroni/jarvis_leaderboard

Explore State-of-the-Art Materials Design Methods: https://arxiv.org/abs/2306.11688

KKaroni/Low-Earth-Orbit

KKaroni/MDAnalysis_ML_workshop

KKaroni/MultirateTrainingOfNNs

Supplement code to our ICML 2022 paper on Multirate Training of Neural Networks

KKaroni/openmm-tutorial-msbs

OpenMM tutorial for the MSBS course

KKaroni/Symmetry-in-Machine-learned-Molecular-Force-Fields