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Mute's Projects

amsoftmax icon amsoftmax

A simple yet effective loss function for face verification.

circle-loss-2 icon circle-loss-2

Tensorflow2 implementation of CircleLoss. Support class-level, sparse class-level, pair-wise labels

circleloss icon circleloss

Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"

cosface icon cosface

Tensorflow implementation for paper CosFace: Large Margin Cosine Loss for Deep Face Recognition

deeplearning-500-questions icon 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[email protected] 版权所有,违权必究 Tan 2018.06

deepnet icon deepnet

Implementations of CNNs, RNNs and cool techniques in deep learning from scratch

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

facenet-pytorch icon facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models

facenet-realtime-face-recognition icon facenet-realtime-face-recognition

A small-scale flask server facial recognition implementation, using a pre-trained facenet model with real-time web camera face recognition functionality, and a pre-trained Multi-Task Cascading Convolutional Neural Network (MTCNN) for face detection and cropping.

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

ilearndeeplearning.py icon ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

insightface-tensorflow icon insightface-tensorflow

Tensoflow implementation of InsightFace (ArcFace: Additive Angular Margin Loss for Deep Face Recognition).

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