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1. DCube_lab DCube_lab Public

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2. YOLO-V3-Object-Detection-in-Keras YOLO-V3-Object-Detection-in-Keras Public

   Here is a basic implementation of Object detection using YOLO v3. I have used Keras framework to train the model.

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3. 0.988-acc-on-MNIST-only-8000-parameter 0.988-acc-on-MNIST-only-8000-parameter Public

   The DNN model is trained on MNIST Dataset having only 8000 paramaters and achieving 98% accuracy.

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4. Emotion-Detection-using-text-data Emotion-Detection-using-text-data Public

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5. Residual-Classification-Network-in-PyTorch Residual-Classification-Network-in-PyTorch Public

   This is an implementation of a residual cnn network for image classification on CIFAR-10 datasets using PyTorch framework

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6. GANs-implementaion-from-scratch-in-PyTorch GANs-implementaion-from-scratch-in-PyTorch Public

   This notebook contains simple implementation of Generative Adversials Network from scratch using Pytorch Framework.

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