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Towards Global Minimum
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Towards Global Minimum

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  1. Severstal-Steel-Defect-Detection Severstal-Steel-Defect-Detection Public

    Steel Defect Detection using U-Net. Optimising training and inference using Automatic Mixed Precision and TensorRT respectively.

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  2. OTOMYCOSIS OTOMYCOSIS Public

    Ear Disease Detection using Deep Learning

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  3. TrainYourOwnYOLO TrainYourOwnYOLO Public

    Forked from AntonMu/TrainYourOwnYOLO

    Train a state-of-the-art yolov3 object detector from scratch!

    Jupyter Notebook 4 3

  4. Automatic-Mixed-Precision Automatic-Mixed-Precision Public

    NVIDIA's Automatic Mixed Precision(AMP) is applied on a language model used for trigger word detection. Main aim is to find out if AMP helps the model to converge faster.

    Jupyter Notebook 2 2

  5. Accelerating-Inference-in-Tensorflow-using-TensorRT Accelerating-Inference-in-Tensorflow-using-TensorRT Public

    TensorRT optimises any Deep Learning model by not only making it lightweight but also by accelerating its inference speed with an idea to extract every ounce of performance from the model, making i…

    Jupyter Notebook 2 1

  6. trt_pose trt_pose Public

    Forked from NVIDIA-AI-IOT/trt_pose

    Real-time pose estimation accelerated with NVIDIA TensorRT

    Python 1