Skip to content
View Thunderb07t's full-sized avatar

Block or report Thunderb07t

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Neural-Style-Transfer Neural-Style-Transfer Public

    Implementation of Neural Style Transfer Method using pretrained VGG-19 in PyTorch.

    Jupyter Notebook

  2. Skin-Cancer-MNIST Skin-Cancer-MNIST Public

    To analyse, process and classify images in Kaggle Skin Cancer MNIST dataset using Transfer Learning in Pytorch.

    Jupyter Notebook

  3. Autoencoder_and_GAN_on_MNIST_using_Keras Autoencoder_and_GAN_on_MNIST_using_Keras Public

    Here I used AutoEncoder and GAN on MNIST hand-written datasets using Keras library. The final output is new never seen before images of hand-written images generated by our GAN network.

    Jupyter Notebook

  4. MNIST-Digit-Recognition-using-MultiLayer-Perceptron MNIST-Digit-Recognition-using-MultiLayer-Perceptron Public

    A neural network with 2 hidden layers and 1 output layer is created to identify handwritten digits in MNIST dataset. The model achieves an accuracy of 96 percent

    Jupyter Notebook

  5. Processing-DICOM-Images Processing-DICOM-Images Public

    Read and convert medical images in DICOM format

    Jupyter Notebook

  6. deeplearning-models deeplearning-models Public

    Forked from rasbt/deeplearning-models

    A collection of various deep learning architectures, models, and tips

    Jupyter Notebook