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aegan-ad

Official pytorch implementation of AEGAN-AD

audio_adversarial_examples

Targeted Adversarial Examples on Speech-to-Text systems

cs_study_plan

一份硬核(hardcore)计算机科学CS自学计划，偏向软件工程和系统架构方向

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-from-scratch

『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)

isgan

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

max-image-resolution-enhancer

Upscale an image by a factor of 4, while generating photo-realistic details.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

spec_resnet

Spectrogram is selected as preprocessing feature of audio clips and a feature representation method based on deep residual network (Spec-ResNet) is proposed to detect audio steganography.

swim-image-steganography

tf_audio_steganalysis

Audio steganalysis with tensorflow.

the-gan-zoo

A list of all named GANs!

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/