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gpu-optimization

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raj200501 / GPUOptimizerML

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The GPU Optimizer for ML Models enhances GPU performance for machine learning. It offers advanced scheduling, real-time monitoring, and efficient resource management through a user-friendly web interface and robust API, integrating big data technologies for seamless data processing and model optimization. @NVIDIA

model-management gpu-optimization real-time-monitoring secure-api big-data-integration gpu-scheduling
  • Updated Jun 29, 2024
  • Python

AKKI0511 / Traffic-Sign-Recognition

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Traffic sign recognition using deep learning. Implemented and compared custom CNN and transfer learning models (ResNet50, MobileNetV2) with comprehensive evaluation metrics. Achieved 98.8% accuracy with a focus on real-world efficiency.

machine-learning computer-vision deep-learning neural-network tensorflow keras artificial-intelligence image-classification transfer-learning data-augmentation model-evaluation cnn-architecture traffic-sign-recognition image-preprocessing model-comparison gpu-optimization resnet50 mobilenetv2 convolutional-neural-networks-cnn
  • Updated Nov 10, 2024
  • Jupyter Notebook

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