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paulmorio/README.md

Hello there!

I am a PhD student at the University of Cambridge (edit: thesis defended and looking for a job!). I work on deep learning with graph-structured data, mostly within biomedical contexts but also in many others! I like thinking about,and working with, complex and dynamic systems at various scales.

  • I am currently doing things with multi-omics data, relational deep learning, and networks for work/research. For fun, I am currently studying generative modelling and multi-agent systems.

  • 🌱 I’m currently working on PyRelational, a one-stop shop for constructing active learning pipelines.

    • PyRelationAL supports:
      • Construction of complex active learning pipelines
      • Development of novel acquisition functions / strategies / batching methods
      • Works with all your favourite ML frameworks and none as well
      • Interfacing with other AL packages
  • I also work in a much less frequent manner on:

  • 📫 How to reach me:

Pinned

  1. benedekrozemberczki/pytorch_geometric_temporal benedekrozemberczki/pytorch_geometric_temporal Public

    PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

    Python 2.5k 346

  2. geo2dr geo2dr Public

    Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.

    OpenEdge ABL 44 5

  3. RelationRx/pyrelational RelationRx/pyrelational Public

    pyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active le…

    Python 147 12

  4. DrugPairScoringDR DrugPairScoringDR Public

    Repository for Distributed representations of graphs for drug pair scoring

    Python 6

  5. label_diffusion label_diffusion Public

    Python implementation of label diffusion algorithm for transductive node labelling. Based on Zhou et. al. "Learning with Local and Global Consistency"

    Python 9

  6. deap_analysis deap_analysis Public

    DEAP Dataset Analysis Code

    Jupyter Notebook 48 11