Pinned Repositories
adversarial-robustness-toolbox
Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
ARIS-SP
source code for paper "Adversarial robust image steganography against lossy JPEG compression"
awesome-adversarial-examples-dl
A curated list of awesome resources for adversarial examples in deep learning
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
awesome-spider
爬虫集合
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
MAE-steganography
sourece code for paper 'Steganography enhancement via multiple adversarial examples'
MAE-TIFS
source code for paper "A New Adversarial Embedding Method for Enhancing Image Steganography"
UGS-TDSC
Source code for paper "Adversarial Steganography Embedding via Stego Generation and Selection"
lml2egg1314's Repositories
lml2egg1314/UGS-TDSC
Source code for paper "Adversarial Steganography Embedding via Stego Generation and Selection"
lml2egg1314/MAE-TIFS
source code for paper "A New Adversarial Embedding Method for Enhancing Image Steganography"
lml2egg1314/MAE-steganography
sourece code for paper 'Steganography enhancement via multiple adversarial examples'
lml2egg1314/ARIS-SP
source code for paper "Adversarial robust image steganography against lossy JPEG compression"
lml2egg1314/adversarial-robustness-toolbox
Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
lml2egg1314/AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
lml2egg1314/awesome-adversarial-examples-dl
A curated list of awesome resources for adversarial examples in deep learning
lml2egg1314/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
lml2egg1314/awesome-spider
爬虫集合
lml2egg1314/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
lml2egg1314/dct
implement Discrete Cosine Transform
lml2egg1314/DCT-Discrete-Cosine-Transform
Identify the frequency domain of an image. Aplly Discrete Cosine Transform(DCT ) and Inverse Discrete Cosine Transform(IDCT) in image
lml2egg1314/digital_video_introduction
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
lml2egg1314/discrete-cosine-transformation
The Discrete Cosine Transformation (DCT) in Digital Signal Processing
lml2egg1314/Discrete-Wavelet-Transform-Analysis
lml2egg1314/IDCN
Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction
lml2egg1314/Image-compression-and-video-coding
lml2egg1314/Learning-based-Image-Video-Compression
Recent papers and codes related to deep learning-based image/video compression. Mainly focus on top venues of machine learning / neural network community.
lml2egg1314/pytorch_wavelets
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT)
lml2egg1314/react-native-image-crop-picker
iOS/Android image picker with support for camera, video, configurable compression, multiple images and cropping
lml2egg1314/Single-Image-Super-Resolution
A collection of high-impact and state-of-the-art SR methods
lml2egg1314/Stego-Post-processing
A simple yet effective post-processing method to enhance image steganography in spatial domain.
lml2egg1314/torch-dct
DCT (discrete cosine transform) functions for pytorch
lml2egg1314/trackerslist
Updated list of public BitTorrent trackers
lml2egg1314/Wavelet-denoising
A script to use the PyWavelet library to perform denoising on a signal using a multi-level signal decomposition using a discrete wavelet transform.