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  • KAIST - Korea Advanced Institute of Science and Technology
  • South Korea
  • 07:58 (UTC +09:00)
  • LinkedIn in/aamirmalik-dr

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  1. active-learning-microscopy active-learning-microscopy Public

    Gaussian-process active learning for autonomous microscopy, benchmarked against space-filling scans.

    Jupyter Notebook

  2. graph-neural-networks-for-molecules graph-neural-networks-for-molecules Public

    From-scratch message passing neural networks (MPNN, GCN) in PyTorch for molecular property prediction on ESOL.

    Python

  3. neural-network-from-scratch neural-network-from-scratch Public

    Feedforward neural network in pure NumPy: backpropagation, SGD/Momentum/Adam, and numerical gradient checking.

    Jupyter Notebook

  4. stem-atom-finder stem-atom-finder Public

    Atomic column detection in simulated HAADF-STEM images, comparing classical detectors against a compact U-Net.

    Jupyter Notebook

  5. diffraction-structure-classifier diffraction-structure-classifier Public

    Crystal-structure classification from simulated electron diffraction: a tuned classical baseline vs 1D and 2D CNNs.

    Jupyter Notebook

  6. molecular-generative-models molecular-generative-models Public

    From-scratch SMILES autoencoder and variational autoencoder in PyTorch, scored on validity, uniqueness, and novelty.

    Jupyter Notebook