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model-benchmarking-and-optimization

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Samuelson777 / Microsoft-Classifying-Cybersecurity-Incidents-with-Machine-Learning

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Enhance SOC efficiency with our machine learning model that predicts cybersecurity incident triage grades (TP, BP, FP) using the GUIDE dataset. Support SOC analysts with context-rich recommendations to strengthen enterprise security posture.

model-evaluation-metrics data-preprocessing-and-feature-engineering machine-learning-classification-techniques cybersecurity-concepts-and-frameworks handling-imbalanced-datasets model-benchmarking-and-optimization
  • Updated Apr 27, 2025
  • Jupyter Notebook

VinodLouis / browser-inference-traditional

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This project benchmarks vision (MobileNet, ResNet20) and NLP (DistilBERT) models across server vs. client inference, using backend servers and ONNX-converted local models. It evaluates latency, UX, accuracy, and performance, dedicated to fulfilling the Master’s thesis in AI & ML.

resnet client-side server-side mobilnet-v2 onxx model-benchmarking-and-optimization distillbert model-inferencing
  • Updated Feb 9, 2026
  • TypeScript

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