LXH (Lethe-hhh)

Lethe-hhh

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pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

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3DUNet-Pytorch

3DUNet implemented with pytorch

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deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

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Modified-3D-UNet-Pytorch

This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017

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Mask-RCNN-3D-Implementation

This is the extension of Mask RCNN model to 3D images.

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DetectAndTrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

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unet-denoising-dirty-documents

参考眼底图像血管分割retina-unet实现的文档去噪、去水印

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Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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ME-Net

[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

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Adversarial-attack-on-Person-ReID-With-Deep-Mis-Ranking

This is a pytorch implementation of the CVPR2020 paper: Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking

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ColorFool

PyTorch implementation of ColorFool: Semantic Adversarial Colorization, CVPR2020

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Adversarial-Attacks-with-Relativistic-AdvGAN

Using relativism to improve GAN-based Adversarial Attacks. 🦾

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AdvGAN-tf

Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks

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advGAN_pytorch

a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).

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adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks [torchattacks]

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adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

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pytorch-nips2017-attack-example

A PyTorch baseline attack example for the NIPS 2017 adversarial competition

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nn_robust_attacks

Robust evasion attacks against neural network to find adversarial examples

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adversarial-examples-pytorch

Implementation of Papers on Adversarial Examples

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CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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noise2noise-pytorch

PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)

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noise2noise

Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

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noise2noise

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

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MaskTextSpotter

A PyTorch implementation of Mask TextSpotter

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