Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for convolutional neural networks adversarial
adversarial
x
convolutional-neural-networks
x
15 search results found
Image Super Resolution
⭐
4,392
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Deblurgan
⭐
1,657
Image Deblurring using Generative Adversarial Networks
Stackgan
⭐
1,602
One Pixel Attack Keras
⭐
1,078
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Srgan Tensorflow
⭐
694
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
Text Classification
⭐
622
Implementation of papers for text classification task on DBpedia
Adversarial Frcnn
⭐
445
A-Fast-RCNN (CVPR 2017)
Fewshot_gan Unet3d
⭐
239
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Colorizing With Gans
⭐
233
Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400
Awesome Tensorlayer
⭐
212
A curated list of dedicated resources and applications
Gan Rnn_timeseries Imputation
⭐
118
Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
Sagan
⭐
87
Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network
Robust Physical Attack
⭐
82
Physical adversarial attack for fooling the Faster R-CNN object detector
Articles
⭐
77
Papers I read
Segan
⭐
74
A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"
Srgan Pytorch
⭐
44
An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Pwws
⭐
42
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency
Msrgan A Gan For Single Image Super Resolution On High Content Screening Microscopy Images.
⭐
40
Generative Adversarial Network for single image super-resolution in high content screening microscopy images
Procedural Advml
⭐
40
Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)
Photorestoration
⭐
39
A hit and go photo restoration pipeline
Adversarial_spatial
⭐
34
Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.
Finding Tiny Faces With Gan
⭐
29
Iconcolor
⭐
28
Automatic icon colorization using deep convolutional neural networks. "Towards Icon Design Using Machine Learning." In Stanford CS229, Fall 2017.
Vision Tutorial
⭐
28
Computer Vision Tutorial for Deep Learning Researchers
Tensorflow Srgan
⭐
26
Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Speechenhancement
⭐
24
about Speech enhancement
Multiscale Adversarial Attention Gates
⭐
24
Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
Pytorch Vat
⭐
22
Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].
Paper Reading
⭐
21
(Deprecated) 딥 러닝 논문을 읽고 정리합니다. 최신 글은 magmatart.dev에서 확인 가능합니다.
3d Isometry Robust
⭐
17
Adversarial_text
⭐
16
to add
Ml Assignments
⭐
16
ML assignments, about Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Meta Learning, Life-long Learning, Reforcement Learning. It will be challenging but cheerful work!
Advml Traffic Sign
⭐
15
Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper
Chainer Cyclegan
⭐
13
Unofficial chainer implementation of 'Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks' [Zhu+, ICCV2017]
Deep Learning Roadmap
⭐
13
my own deep learning mastery roadmap
Dl Papers
⭐
12
📝 Deep Learning papers that enlightened me
Interpretable_cnn
⭐
12
This repository is deprecated, please go to https://github.com/davidsonic/Interpretable_CNNs_v
Usisresnet
⭐
12
This repository includes code of training/testing of our work published in NTIRE-2020 workshop titled "Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network".
Ml Image Denoising
⭐
12
Image denoising using PCA, NMF, K-SVD, Spectral decomposition, CNN and state of the art generative adversarial denoising autoencoder
Image Completion Using Gans
⭐
11
This is our code for our project on Image Completion using Deep Convolutional Generative Adversarial Networks (DCGANs)
Awesome Deeplearning Resources
⭐
10
Adversarialseqtoseq
⭐
10
Frvsr Gan
⭐
10
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
Defense Vae
⭐
10
Implementation for "Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks"
Kervolution Under Adversarial Attack Pytorch
⭐
9
implement Kervolutional Neural Networks (CVPR, 2019) and compare with CNN under the white box attack
6.867 Final Project
⭐
9
Adversarial attacks and defenses against federated learning.
In Depth Ml
⭐
9
In depth machine learning resources
This Gemstone Does Not Exist
⭐
8
Deep Convolutional Generative Adversarial Network (DCGAN) for generating gemstones.
Notes
⭐
8
📖 summarize the paper, article, seminar, etc
Text Classification
⭐
8
CNN,RNN ,Activation functions, Graph Convolutional Networks(GCN) for Text Classification
Reading Comprehension
⭐
7
Comparing attention-based convolutional and recurrent neural networks under adversarial attacks to investigate their success and limitations in machine reading comprehension
Wordadver
⭐
7
Code for ACL2018 HotFlip: White-Box Adversarial Examples for Text Classification, Word-level Adversarial Examples
Ms Cmr_miccai_2019
⭐
7
Analysis and modeling of the ventricles and myocardium are important in the diagnostic and treatment of heart diseases. Manual delineation of those tissues in cardiac MR (CMR) scans is laborious and time-consuming. The ambiguity of the boundaries makes the segmentation task rather challenging. Furthermore, the annotations on some modalities such as Late Gadolinium Enhancement (LGE) MRI, are often not available. We propose an end-to-end segmentation framework based on convolutional neural network
Pix2pix Tensorflow
⭐
7
pix2pix tensorflow implementation
Machine Learning For Computer Vision
⭐
6
ML Stuff [Updating]
Animegan
⭐
6
A Deep Convolutional Generative Adversarial Network to generate Faces of Anime Characters
Deeplearning Papernotes
⭐
5
Summaries and notes on deep learning papers
Paintingans
⭐
5
Implement a Generative Adversarial Network to generate new (unseen) images of paintings, based on actual images of paintings
Surreal
⭐
5
Deep Learning based Image Super Resolution using DCGANs in Keras
Pwws
⭐
5
Keras implementations of the ACL2019 paper Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency.
The Art Of Deep Learning
⭐
5
Deep learning resources: articles, tutorials, ...
Related Searches
Python Convolutional Neural Networks (7,003)
Python Adversarial (2,315)
Deep Learning Convolutional Neural Networks (1,758)
Pytorch Convolutional Neural Networks (1,572)
Network Convolutional Neural Networks (1,323)
Jupyter Notebook Convolutional Neural Networks (1,094)
Convolutional Neural Networks Computer Vision (912)
Tensorflow Convolutional Neural Networks (880)
Machine Learning Convolutional Neural Networks (799)
Network Adversarial (657)
1-15 of 15 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.