face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on
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Updated
Dec 1, 2021 - Python
face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on
face recognition training project(pytorch)
Paddle Large Scale Classification Tools,supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, Swin, DeiT, CaiT, FaceViT, MoCo, MAE, ConvMAE, CAE.
Deep Face Recognition in PyTorch
a deep accent recognition network
Pipeline for training face recognition models (based on pytorch 1.1)
A PyTorch Implementation of ShuffleFaceNet.
Implementation of related angular-margin-based classification loss functions for training (face) embedding models: SphereFace, CosFace, ArcFace and MagFace.
Metric Learning TF 2.0+Keras Algorithm Implementations for Facial Recognition
VarGFaceNet Pytorch Implementation with AdaFace for LRFR
Face Recognition training and testing framework with tensorflow 2.0 based on the well implemented arcface-tf2. Changes are added to provide tensorflow lite conversion, and provide additional backbones, loss functions.
A comprehensive deep learning framework for face recognition model training. Supports mainstream architectures (ArcFace, CosFace, SphereFace) with flexible data pipeline, distributed training, and easy-to-use APIs. Built for researchers and developers to accelerate face recognition model development.
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