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Zhong Yaoyao's Projects

adversarial_mter icon adversarial_mter

Code for ICCV2019 paper《Adversarial Learning with Margin-based Triplet Embedding Regularization》

caffe-face icon caffe-face

This branch is developed for deep face recognition

deit icon deit

Official DeiT repository

face.evolve icon face.evolve

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

gans icon gans

MXNet implementation of infoGAN, WGAN, CycleGAN

interpretable-face icon interpretable-face

Code of AFGR 2019 paper《Exploring Features and Attributes in Deep Face Recognition Using Visualization Techniques》

jittorface icon jittorface

Codes of some face models inplemented by Jittor.

lightcnn-mxnet icon lightcnn-mxnet

mxnet implementation of LightCNN in the paper "A Light CNN for Deep Face Representation with Noisy Labels" (https://arxiv.org/abs/1511.02683)

lit-llama icon lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

opom icon opom

Code and datasets of TPAMI 2022 paper《OPOM: Customized Invisible Cloak towards Face Privacy Protection》

pytorch-cifar100 icon pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)

resnet icon resnet

Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet

senet.mxnet icon senet.mxnet

:fire::fire: A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and SE-Inception-Resnet-v2) :fire::fire:

sface icon sface

Code of TIP2021 Paper《SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition》. We provide both MxNet and Pytorch versions.

sphereface icon sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

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