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CheukHinHoJerry/README.md

👨‍💻 About Me :

PhD student at The University of British Columbia.
- 🔭 Mathematician working on various project on application of machine Learning in atomistic modeling, particularlly with the the Atomic Cluster Expansion (ACE) framework and MACE. Also work on a bit quantum chemistry and image processing.
- 👯 I’m looking to collaborate on machine learning projects, especially biochemistry, material science or any place that machine learning interatomic potentials may help.
- 📫 How to reach me: email me at cheukhinhojerry@gmail.com

🛠️ Languages and Tools :

React  CSS  HTML  JavaScript  NodeJS  AWS 

🔥 My Stats :

GitHub Streak

Pinned

  1. ACEsuit/ACEpotentials.jl ACEsuit/ACEpotentials.jl Public

    Machine Learning Interatomic Potentials with the Atomic Cluster Expansion

    Julia 41 10

  2. mace mace Public

    Forked from ACEsuit/mace

    MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

    Python

  3. ACEsuit/Polynomials4ML.jl ACEsuit/Polynomials4ML.jl Public

    Polynomials for ML: fast evaluation, batching, differentiation

    Julia 12 5

  4. ACEsuit/ACEpsi.jl ACEsuit/ACEpsi.jl Public

    ACE wave function parameterizations

    Julia 2

  5. torch-dftd torch-dftd Public

    Forked from pfnet-research/torch-dftd

    pytorch implementation of dftd2 & dftd3

    Python