IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Stars: ✭ 202 (-30.1%)
Tensorflow SrganTensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Stars: ✭ 33 (-88.58%)
DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
Stars: ✭ 88 (-69.55%)
SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Stars: ✭ 2,641 (+813.84%)
Anime Face Gan KerasA DCGAN to generate anime faces using custom mined dataset
Stars: ✭ 161 (-44.29%)
Srgan TensorflowTensorflow implementation of the SRGAN algorithm for single image super-resolution
Stars: ✭ 754 (+160.9%)
Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Stars: ✭ 59 (-79.58%)
Anime4kA High-Quality Real Time Upscaler for Anime Video
Stars: ✭ 14,083 (+4773.01%)
Master Thesis BayesiancnnMaster Thesis on Bayesian Convolutional Neural Network using Variational Inference
Stars: ✭ 222 (-23.18%)
srganPytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Stars: ✭ 39 (-86.51%)
RanksrganICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
Stars: ✭ 213 (-26.3%)
Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Stars: ✭ 4,122 (+1326.3%)
YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
Stars: ✭ 41 (-85.81%)
Fast SrganA Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Stars: ✭ 417 (+44.29%)
Jsi GanOfficial repository of JSI-GAN (Accepted at AAAI 2020).
Stars: ✭ 42 (-85.47%)
ExermoteUsing Machine Learning to predict the type of exercise from movement data
Stars: ✭ 108 (-62.63%)
Tf Adnet TrackingDeep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'
Stars: ✭ 162 (-43.94%)
IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Stars: ✭ 163 (-43.6%)
MydeeplearningA deep learning library to provide algs in pure Numpy or Tensorflow.
Stars: ✭ 281 (-2.77%)
Pytorch SaltnetKaggle | 9th place single model solution for TGS Salt Identification Challenge
Stars: ✭ 270 (-6.57%)
CnnimageretrievalCNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet
Stars: ✭ 168 (-41.87%)
Bilinear Cnn TensorflowThis is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.
Stars: ✭ 187 (-35.29%)
Depression DetectPredicting depression from acoustic features of speech using a Convolutional Neural Network.
Stars: ✭ 187 (-35.29%)
DeblurganImage Deblurring using Generative Adversarial Networks
Stars: ✭ 2,033 (+603.46%)
Simple cnnSimple Convolutional Neural Network Library
Stars: ✭ 158 (-45.33%)
Makegirlsmoe webCreate Anime Characters with MakeGirlsMoe
Stars: ✭ 3,144 (+987.89%)
LivianetThis repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
Stars: ✭ 143 (-50.52%)
Machine Learning Is All You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Stars: ✭ 173 (-40.14%)
AutoclintA specially designed light version of Fast AutoAugment
Stars: ✭ 171 (-40.83%)
Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (-51.9%)
Alae[CVPR2020] Adversarial Latent Autoencoders
Stars: ✭ 3,178 (+999.65%)
Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Stars: ✭ 212 (-26.64%)
DcganThe Simplest DCGAN Implementation
Stars: ✭ 286 (-1.04%)
Grad cam plus plusA generalized gradient-based CNN visualization technique
Stars: ✭ 216 (-25.26%)
PyconvPyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Stars: ✭ 231 (-20.07%)
Image Super Resolution🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Stars: ✭ 3,293 (+1039.45%)
Awesome TensorlayerA curated list of dedicated resources and applications
Stars: ✭ 248 (-14.19%)
TorchfusionA modern deep learning framework built to accelerate research and development of AI systems
Stars: ✭ 244 (-15.57%)
pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
Stars: ✭ 21 (-92.73%)
catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Stars: ✭ 50 (-82.7%)
SinganOfficial pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Stars: ✭ 2,983 (+932.18%)
IrwGANOfficial pytorch implementation of the IrwGAN for unaligned image-to-image translation
Stars: ✭ 33 (-88.58%)
GAN-Project-2018GAN in Tensorflow to be run via Linux command line
Stars: ✭ 21 (-92.73%)
StyleGANCppUnofficial implementation of StyleGAN's generator
Stars: ✭ 25 (-91.35%)
GAN-auto-writeGenerative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)
Stars: ✭ 18 (-93.77%)
steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
Stars: ✭ 30 (-89.62%)
AvatarGANGenerate Cartoon Images using Generative Adversarial Network
Stars: ✭ 24 (-91.7%)
esrganEnhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution
Stars: ✭ 48 (-83.39%)
AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
Stars: ✭ 24 (-91.7%)
ADL2019Applied Deep Learning (2019 Spring) @ NTU
Stars: ✭ 20 (-93.08%)