Fast embedding-based graph classification with connections to kernels
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May 6, 2020 - Python
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feature-maps
Here are 5 public repositories matching this topic...
Quantum kernel estimation for binary classification with realistic IBM Quantum hardware noise modeling. Demonstrates full integration with IBM's 127-qubit Eagle processors.
machine-learning qml svm quantum-computing classification superconducting-qubits quantum-machine-learning qiskit ibm-quantum-computer feature-maps quantum-technology ibm-quantum quantum-ml noise-modeling variational-algorithms quantum-kernels superconducting-computing ibm-quantum-hardware eagle-processor kernel-alignment
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Jan 15, 2026 - Python
A deep learning project that builds and evaluates Convolutional Neural Network (CNN) models for classifying CIFAR-10 images, compares a custom CNN with ResNet-18, and applies hyperparameter tuning to improve model performance and generalization.
computer-vision deep-learning cnn neural-networks image-classification resnet hyperparameter-tuning model-compression cifar-10 feature-maps
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Nov 25, 2025 - Jupyter Notebook
A comprehensive implementation and evaluation of three state-of-the-art object detection architectures: Faster R-CNN, YOLOv11n, and DETR on COCO 2017 and Pascal VOC 2012 datasets.
coco object-detection pascal-voc iou fasterrcnn resnet50 mean-average-precision gradcam feature-maps detr yolov11
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Dec 22, 2025 - Jupyter Notebook
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