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@ShenakhtPajouh
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amanzadi/README.md

About Me

I am excited about complex interdisciplinary problems in Biomedicine that can be tackled with learning-based systems. I am especially interested in the application of Graph Neural Networks (GNN) in biomedical research.

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💻 Tech Stack

Python R LINUX PyTorch TensorFlow Keras scikit-learn AWS Azure NumPy Pandas Plotly Docker Kubernetes Shell Script Cloudflare Apache Spark FastAPI MongoDB MySQL Neo4J SQLite AZUREDEVOPS GRAFANA PROMETHEUS Jira

💰 You can help me by Donating

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Popular repositories

  1. MS_Thesis MS_Thesis Public

    Application of Graph Neural Networks in accurate prediction of polypharmacy side effects.

    Jupyter Notebook 3

  2. decagon decagon Public

    Forked from mims-harvard/decagon

    Graph convolutional neural network for multirelational link prediction

    Jupyter Notebook

  3. DeepDTA DeepDTA Public

    Forked from hkmztrk/DeepDTA

    Python

  4. GraphDTA GraphDTA Public

    Forked from thinng/GraphDTA

    GraphDTA: Predicting drug-target binding affinity with graph neural networks

    Python

  5. graph_coattention graph_coattention Public

    Forked from andreeadeac22/graph_coattention

    Work on designing a graph co-attention algorithm.

    Python

  6. TDC TDC Public

    Forked from mims-harvard/TDC

    Therapeutics Data Commons: Machine Learning Datasets for Therapeutics

    Jupyter Notebook