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transformer-based-architecture

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premchand9985 / Predicting_Incident_HeartFailure_Disease_Based-on-Transformers

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This repository hosts a cutting-edge deep learning model developed to predict 6-month incident heart failure utilizing electronic health records (EHRs). Heart failure is a multifaceted medical condition characterized by its significant impact on patients' well-being and healthcare systems.

deep-learning transformers electronic-health-records auroc ehr-data transformers-models transformer-based-architecture predicting-heart-failure-incidence
  • Updated Apr 4, 2024
  • Python

Prof-it / trans-gnn-QuantumCircuitPrediction

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Transformer-GNN framework for learning full output distributions of quantum circuits. Includes datasets, trained models, and notebooks comparing GNNs with a CNN baseline on 2–5 qubits (noisy and noiseless), with extrapolation to 6-qubit circuits. Tech: PyTorch Geometric, NetworkX, Qiskit, SymPy

quantum-computing convolutional-neural-networks quantum-ai qiskit quantum-circuit-simulator quantum-circuits graph-neural-networks pytorch-geometric transformer-based-architecture
  • Updated Oct 10, 2025
  • Jupyter Notebook

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