generative-network

There are 0 repository under generative-network topic.

viluiz / gan
Generative adversarial networks (GAN) in a reduced-order model (ROM) framework for time series prediction, data assimilation and uncertainty quantification
data-assimilation uncertainty-quantification generative-adversarial-network deep-learning time-series-prediction generative-network reduced-order-model
42
ozdemiroorhan / NLP-SQUAD
NLP-CHATBOT
seq2seq natural-language-processing tensorflow cuda machine-learning nlp question-answering chatbot generative-network question question2answer squad nlp-question-answering python squad-dataset nlp-python
Language:Python 11
IdeasLabUT / CHIP-Network-Model
Python implementation of the CHIP network model, published in NeurIPS 2020.
neurips-2020 chip-model generative-network dynamic-networks
Language:Python 8
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.
celeba gans generative-network image-compression
Language:Python 6
altonelli / fast-style-transfer-tf2
Fast Neural Style Transfer implemented in Tensorflow 2
machine-learning computer-vision tensorflow2 neural-style-transfer fast-neural-style generative-network neural-network
Language:Python 4
vineeths96 / Variational-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 VAEGANs for this task.
flickr gan generative-network image-compression vaegan
Language:Python 3
LoryPack / SBI_gen_networks_SRs
Code for the paper: "Simulation-Based Inference with Generative Neural Networks via Scoring Rule Minimization"
bayesian-inference gan generative-network lfi scoring-rules sbi
Language:Jupyter Notebook 2
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.
autoencoders denoising-autoencoders denoising-images denoising-network autoencoder discriminative-network generative-network noise-reduction gaussian-noise pixel-correction image-processing cnn
Language:Jupyter Notebook 1
lavish619 / Variational-Autoencoders
Variational Autoencoders implementation in Keras.
variational-autoencoder keras encoder-decoder generative-network latent-space variational-inference
Language:Python
makaveli10 / deep-generative-nets
gan tensorflow2 generative-adversarial-network tensorflow-2 generative-network
Language:Jupyter Notebook

generative-network

viluiz / gan

ozdemiroorhan / NLP-SQUAD

IdeasLabUT / CHIP-Network-Model

vineeths96 / Generative-Image-Compression

altonelli / fast-style-transfer-tf2

vineeths96 / Variational-Generative-Image-Compression

LoryPack / SBI_gen_networks_SRs

AdityaTheDev / ImageDenoising-Using-Autoencoders

lavish619 / Variational-Autoencoders

makaveli10 / deep-generative-nets