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Researching and developing...
🧠
Researching and developing...
186 followers · 310 following

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Achievement: Pull Sharkx3Achievement: YOLOAchievement: Starstruckx2Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
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Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Starstruckx2Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
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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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Top Langs lambdalisue's github stats

Pinned

  1. BioinfoMachineLearning/GCPNet BioinfoMachineLearning/GCPNet Public

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

    Python 38 3

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

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

    Python 108 11

  3. BioinfoMachineLearning/DeepInteract BioinfoMachineLearning/DeepInteract Public

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

    Python 57 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 160 15

  5. Profluent-Internships/MMDiff Profluent-Internships/MMDiff Public

    Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion

    Python 48 4

  6. awesome-molecular-generation awesome-molecular-generation Public

    Awesome papers related to generative molecular modeling and design.

    264 33