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Researching and developing...
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Researching and developing...

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amorehead/README.md

Hi! I'm Alex

  • 🔭 I’m currently working on applications of geometric deep learning and generative modeling for structural biology and computational biology more generally.
  • 🌱 I’m currently learning about generative flow matching with equivariant neural networks.
  • 💬 Ask me about machine learning, artificial intelligence, computational biology, music, cardio and strength training, etc.
  • 📫 How to reach me: LinkedIn, Twitter, Gmail, etc.
  • ⚡ Fun fact: I can understand (i.e., read) more Chinese and Japanese than I can speak.

🌐 Website · 📰 Google Scholar · 👔 LinkedIn · 🐦 Twitter

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  1. BioinfoMachineLearning/GCPNet BioinfoMachineLearning/GCPNet Public

    A PyTorch implementation of Geometry-Complete SE(3)-Equivariant Perceptron Networks (GCPNets)

    Python 40 4

  2. BioinfoMachineLearning/bio-diffusion BioinfoMachineLearning/bio-diffusion Public

    A geometry-complete diffusion generative model (GCDM) for 3D molecule generation and optimization (Nature CommsChem)

    Python 182 24

  3. BioinfoMachineLearning/DeepInteract BioinfoMachineLearning/DeepInteract Public

    A geometric deep learning pipeline for predicting protein interface contacts. (ICLR 2022)

    Python 63 11

  4. a-r-j/ProteinWorkshop a-r-j/ProteinWorkshop Public

    Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities. (ICLR 2024)

    Python 211 16

  5. BioinfoMachineLearning/PoseBench BioinfoMachineLearning/PoseBench Public

    Comprehensive benchmarking of protein-ligand structure generation methods (ICML 2024 AI4Science)

    Jupyter Notebook 103 3

  6. lucidrains/alphafold3-pytorch lucidrains/alphafold3-pytorch Public

    Implementation of Alphafold 3 from Google Deepmind in Pytorch

    Python 1.3k 156