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chenlang2018's Projects

isgan icon isgan

Implementation of "Invisible Steganography via Generative Adversarial Networks" (https://arxiv.org/abs/1807.08571)

melgan-neurips icon melgan-neurips

GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis

mnist_challenge icon mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

pyaudioanalysis icon pyaudioanalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

relativisticgan icon relativisticgan

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

rl-gan-net icon rl-gan-net

Official Repository of CVPR 2019 Paper : RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion

robgan icon robgan

Rob-GAN: Generator, Discriminator and Adversarial Attacker

sn-gan icon sn-gan

pyTorch implementation of Spectral Normalization for Generative Adversarial Networks

snapshotensemble icon snapshotensemble

Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)

steganalysis_with_cnn_and_srm icon steganalysis_with_cnn_and_srm

code of our paper entitled: Improving Blind Steganalysis in Spatial Domain using a Criterion to Choose the AppropriateSteganalyzer between CNN and SRM+EC

steganalysiscnn icon steganalysiscnn

An Improved CNN Steganalysis Architecture Based on “Catalyst Kernels” and Transfer Learning

stegano icon stegano

Stegano is a pure Python steganography module. Different methods of steganography and steganalysis are provided.

steganogan icon steganogan

SteganoGAN is a tool for creating steganographic images using adversarial training.

supermarket icon supermarket

设计精良的网上商城系统,包括前端、后端、数据库,基于SSM框架开发,可部署到服务器上,不断完善中……

tensorflow-yenet icon tensorflow-yenet

Implementation of "Deep Learning Hierarchical Representation for Image Steganalysis" by TensorFlow

tf-cifar10 icon tf-cifar10

Deep Convolutional Neural Network for CIFAR10 problem. Achieved 91.49% accuracy.

tqdm icon tqdm

A Fast, Extensible Progress Bar for Python and CLI

voice_datasets icon voice_datasets

🔊 A comprehensive list of open-source datasets for voice and sound computing (50+ datasets).

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