PyVerse is an open-source collection of diverse Python projects, tools, and scripts, ranging from beginner to advanced, across various domains like machine learning, web development, and automation.
:red_circle: SRGAN (Super-Resolution Generative Adversarial Network)
:red_circle: Aim: To develop a deep learning model that enhances the resolution of images, converting low-resolution images into high-resolution ones.
:red_circle: Brief Explanation: This project involves implementing the SRGAN architecture, which consists of a generator and a discriminator. The generator takes low-resolution images as input and produces high-resolution images, while the discriminator evaluates the realism of the generated images. The model is trained on a dataset of images, learning to improve image quality through adversarial training.
Screenshots 📷
:white_check_mark: To be Mentioned while taking the issue:
Full name: Ananya Kaligal
What is your participant role? (Mention the Open Source Program name. Eg. GSOC, GSSOC, SSOC, JWOC, etc.): GSSOC Hacktoberfest
Happy Contributing 🚀
:red_circle: SRGAN (Super-Resolution Generative Adversarial Network) :red_circle: Aim: To develop a deep learning model that enhances the resolution of images, converting low-resolution images into high-resolution ones.
:red_circle: Brief Explanation: This project involves implementing the SRGAN architecture, which consists of a generator and a discriminator. The generator takes low-resolution images as input and produces high-resolution images, while the discriminator evaluates the realism of the generated images. The model is trained on a dataset of images, learning to improve image quality through adversarial training.
Screenshots 📷
:white_check_mark: To be Mentioned while taking the issue:
Full name: Ananya Kaligal What is your participant role? (Mention the Open Source Program name. Eg. GSOC, GSSOC, SSOC, JWOC, etc.): GSSOC Hacktoberfest Happy Contributing 🚀