LiBiying

OCR_XJTU_RPLN

Meta-weight-net_class-imbalance

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).

center-loss.pytorch

center loss for face recognition

caffe-face

This branch is developed for deep face recognition

Deep3DFaceRecon_pytorch

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

DFace

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

DREAM

This is the public repository for our accepted CVPR 2018 paper "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping"

DynamicReLU

Implementation of Dynamic ReLU on Pytorch

face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

face3d

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

FaceDatasets

Some scripts to process face datasets.

FCN-pytorch

🚘 Easiest Fully Convolutional Networks

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

HRNet-Facial-Landmark-Detection

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

insightface

Face Recognition Project on MXNet

jittor

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

MNIST-dataset-in-different-formats

Just a MNIST dataset in different formats

openface

Face recognition with deep neural networks.

pytorch-histogram-loss

PyTorch implementation for Histogram Loss

Pytorch-Memory-Utils

Pytorch memory detect code

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers