snailexe's Stars
lachinov/brats2019
ppwwyyxx/Adversarial-Face-Attack
Black-Box Adversarial Attack on Public Face Recognition Systems
soumyac1999/FGSM-Keras
Implemention of Fast Gradient Sign Method for generating adversarial examples in Keras
Harry24k/AEPW-pytorch
A pytorch implementation of "Adversarial Examples in the Physical World"
RobertoFalconi/BlackBoxAttackDNN
Neural Networks exam project. Machine learning algorithm: implementation of FGSM and JSMA attacks by Goodfellow and Papernot.
ferjad/Universal_Adversarial_Perturbation_pytorch
A PyTorch Implementation of the UAP attack
JohnleeHIT/Brats2019
[BrainLes2019] Multi-step cascaded network for brain tumor segmentations (tensorflow)
naomifridman/Unet_Brain_tumor_segmentation
Deep learning Brain tumor segmentation, BRATS2019
Artur112/Brain_Tumour_Segmentation
Code for training a 3DUnet for Brain tumour segmentation from Brats 2019 dataset; for feature extraction from the segmented volumes and for survival prediction. Run train.py for training, segment.py for segmenting test scans and evaluate.py for evaluating the performance of those segmentations. Basic code also written to perform survival prediction with a random forest classifiier.
zsdonghao/u-net-brain-tumor
U-Net Brain Tumor Segmentation
IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
decouples/Unet
A demo of Unet to detect edges!
zhixuhao/unet
unet for image segmentation
zhiwehu/Python-programming-exercises
100+ Python challenging programming exercises
Hyperparticle/one-pixel-attack-keras
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
LTS4/universal
virgili0/Virgilio
Your new Mentor for Data Science E-Learning.
TheAlgorithms/Python
All Algorithms implemented in Python
InnerPeace-Wu/CapsNet-tensorflow
With reconstruct, capsule representation, adversarial experiments. Implementation of NIPS2017 paper "Dynamic Routing Between Capsules" in tensorflow.
thibo73800/capsnet-traffic-sign-classifier
A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset
jsikyoon/adv_attack_capsnet
Tensorflow Implementation of Adversarial Attack to Capsule Networks
bourdakos1/CapsNet-Visualization
🎆 A visualization of the CapsNet layers to better understand how it works
advboxes/AdvBox
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
yu4u/dnn-watermark
Implementation of "Embedding Watermarks into Deep Neural Networks," in Proc. of ICMR'17.
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
ddbourgin/numpy-ml
Machine learning, in numpy
HIPS/autograd
Efficiently computes derivatives of NumPy code.
Lab41/PySEAL
This repository is a fork of Microsoft Research's homomorphic encryption implementation, the Simple Encrypted Arithmetic Library (SEAL). This code wraps the SEAL build in a docker container and provides Python API's to the encryption library.
wfus/Fully-Homomorphic-Image-Processing
Fully Homomorphic Image Preprocessing and analysis - JPEG encoding, decoding, image resizing.