ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
A deep convolutional generative adversarial network implemented in PyTorch! The project is designed to generate realistic images from random noise using the power of deep learning.
This project illustrates the building of foundational GANs , one of the most powerful utilities of deep learning using Generator and Advisor networks. The training data for this project is obtained from the CIFAR-10 open dataset. This model can successfully generate human like art using the training it had went through.
It utilizes the power of neural networks and uses two parallel , powerful networks to build image artworks that are appealing and realistic . It can further be scaled to build models like stable diffusion.
DcganSample
A deep convolutional generative adversarial network implemented in PyTorch! The project is designed to generate realistic images from random noise using the power of deep learning. This project illustrates the building of foundational GANs , one of the most powerful utilities of deep learning using Generator and Advisor networks. The training data for this project is obtained from the CIFAR-10 open dataset. This model can successfully generate human like art using the training it had went through. It utilizes the power of neural networks and uses two parallel , powerful networks to build image artworks that are appealing and realistic . It can further be scaled to build models like stable diffusion. DcganSample![DcganSample](https://github.com/Niketkumardheeryan/ML-CaPsule/assets/118044484/fa40614b-f37a-4456-a72b-0e68ca6bf206)