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10kinds-light-face-detector-align-recognition

10种轻量级人脸检测算法的比拼，其中还包含人脸关键点检测与对齐，人脸特征向量提取和计算距离相似度

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

adversarial_deepfakes

Deepfakes with an adversarial twist.

avatarify

Avatars for Zoom and Skype

bayesiandefense

Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network

comics

cvpr18-inaturalist-transfer

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

cvpr_2019_pni

pytorch implementation of Parametric Noise Injection for adversarial defense

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

df-net

[ECCV 2018] DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency

dfdc_deepfake_challenge

A prize winning solution for DFDC challenge

faceforensics

Github of the FaceForensics dataset

fastmaskrcnn

Mask RCNN in TensorFlow

hourglasstensorlfow

Tensorflow implementation of Stacked Hourglass Networks for Human Pose Estimation

icpr2020dfdc

Video Face Manipulation Detection Through Ensemble of CNNs

learn2perturb

mesonet-pytorch

The Pytorch Implemention of MesoNet

models

Models and examples built with TensorFlow

mvss-net

code for Image Manipulation Detection by Multi-View Multi-Scale Supervision

non-local_pytorch

Implementation of Non-local Block.

one-pixel-attack-pytorch

Pytorch reimplementation of "One pixel attack for fooling deep neural networks"

pyqt

PyQt Examples（PyQt各种测试和例子） PyQt4 PyQt5

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-cw2

A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.

pytorch-nips2017-attack-example

A PyTorch baseline attack example for the NIPS 2017 adversarial competition

pytorch-vgg-cifar10

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

relative-depth-using-pytorch

Depth from a single RGB image using crowd-sourcing relative-depth datasets. The pytorch implementation of the NIPS paper: Single-Image Depth Perception in the Wild.

relative_depth

Code for the NIPS 2016 paper

rgb-n