Exploring the fundamentals of neural networks
A google collab notebooks to generate audio reactive videos based on Stylegan2 models
ou'll find a collection of Jupyter Notebook files showcasing various Generative Adversarial Networks (GANs) and their applications. Each notebook provides an interactive and informative environment to explore and experiment with different GAN architectures and techniques.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
“Deep Learning with PyTorch: Zero to GANs” is an online course intended to provide a codingfirst introduction to deep learning using the PyTorch framework. The course takes a hands-on coding-focused approach and will be taught using live interactive Jupyter notebooks, allowing students to follow along and experiment. Theoretical concepts will be…
A PyTorch notebook and implementation of a normal linear GAN
Repository of all notebooks used in the GANs and VAEs event.
Scientific Guide AI notebooks is a collection of machine learning and deep learning notebooks prepared by Salem Messoud.
Notebooks of pre trained models using the HAM10000 dataset
Python codes and notebooks for the summer school on computer vision and machine learning in CVIT, IIIT Hyderabad, 2019
Small projects I've done over the years, including notebooks from online courses that I took on Coursera/Udacity/Udemy.
Colab notebooks for GAN tutorials.
This Repository contain an IPython notebook of an example implementation of conditional Deep Convolutional Generative Adversarial Networks or cDCGAN or DC cGAN using Tensorflow.Keras Funtional API.
A curated list of extensions, python packages, machine learning and collaborative notebooks ready to run in Deepnote.
A TF 2.0 implementation of Progressive growing of GANs
Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)
A Repo to store the Google Colaboratory Notebooks that I have created and shared
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