generative-network | Topic | Ecosyste.ms: Repos

Topic: "generative-network"

viluiz/gan

Generative adversarial networks (GAN) in a reduced-order model (ROM) framework for time series prediction, data assimilation and uncertainty quantification

Language: Jupyter Notebook - Size: 1.05 GB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 43 - Forks: 17

IdeasLabUT/CHIP-Network-Model

Python implementation of the CHIP network model, published in NeurIPS 2020.

Language: Python - Size: 8.08 MB - Last synced at: 9 days ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 6

vineeths96/Generative-Image-Compression

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.

Language: Python - Size: 106 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 0

altonelli/fast-style-transfer-tf2

Fast Neural Style Transfer implemented in Tensorflow 2

Language: Python - Size: 4.57 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

LoryPack/SBI_gen_networks_SRs Fork of mackelab/gatsbi

Code for the paper: "Simulation-Based Inference with Generative Neural Networks via Scoring Rule Minimization"

Language: Jupyter Notebook - Size: 67.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

vineeths96/Variational-Generative-Image-Compression

Language: Python - Size: 77.5 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

gholomia/MNIST-Drawer-DCGAN

Implementation of a deep convolutional generative adversarial network to draw MNIST characters using Tensorflow.

Language: Python - Size: 10.7 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

sofialtamsh/NLP-Chatbot

NLP-Chatbot

Language: Python - Size: 6.49 MB - Last synced at: 11 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

AdityaTheDev/ImageDenoising-Using-Autoencoders

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.

Language: Jupyter Notebook - Size: 1.27 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0