VarGFaceNet Pytorch Implementation with AdaFace for LRFR
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Updated
Aug 25, 2023 - Jupyter Notebook
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.
Metric Learning TF 2.0+Keras Algorithm Implementations for Facial Recognition
A PyTorch Implementation of ShuffleFaceNet.
Implementation of related angular-margin-based classification loss functions for training (face) embedding models: SphereFace, CosFace, ArcFace and MagFace.
a deep accent recognition network
Pipeline for training face recognition models (based on pytorch 1.1)
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
face recognition training project(pytorch)
face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on
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