There are 0 repository under generative-network topic.
NLP-CHATBOT
Python implementation of the CHIP network model, published in NeurIPS 2020.
In this repository, we focus on the compression of images and video (sequence of image frames) using deep generative models and show that they achieve a better performance in compression ratio and perceptual quality. We explore the use of GANs for this task.
Fast Neural Style Transfer implemented in Tensorflow 2
In this repository, we focus on the compression of images and video (sequence of image frames) using deep generative models and show that they achieve a better performance in compression ratio and perceptual quality. We explore the use of VAEGANs for this task.
Code for the paper: "Simulation-Based Inference with Generative Neural Networks via Scoring Rule Minimization"
I built a Denoising Autoencoder to remove noise from the image. Image Denoising is the process of removing noise from the Images The noise present in the images may be caused by various intrinsic or extrinsic conditions which are practically hard to deal with. The problem of Image Denoising is a very fundamental challenge in the domain of Image processing and Computer vision. Therefore, it plays an important role in a wide variety of domains where getting the original image is really important for robust performance.
Variational Autoencoders implementation in Keras.