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additive-margin-softmax

This is the implementation of paper <Additive Margin Softmax for Face Verification>

additive-margin-softmax-loss-pytorch

Additive margin softmax loss in pytorch

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

ageitgey

agender

Real-time estimation of gender and age

amsoftmax

A simple yet effective loss function for face verification.

animegan

A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper <AnimeGAN: a novel lightweight GAN for photo animation>, which uses the GAN framwork to transform real-world photos into anime images.

awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

awesome-segmentation-saliency-dataset

A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile:

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

beautypredict

Facial beauty prediction via deep learning methods based on SCUT-FBP5500 dataset

chineseocr

yolo3+ocr

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

cornernet-lite

cv_interviews_q-a

CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！

darknet

Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used)

data-science-competitions

Goal of this repo is to provide solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

dbface

DBFace is a real-time, single-stage detector for face detection, with faster speed and higher accuracy

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep_learning_object_detection

A paper list of object detection using deep learning.

deepface

Lightweight Facial Analysis Framework for Python Including Face Recognition and Demography (Age, Gender, Emotion and Race)

deepid

tensorflow + python3实现，目标是实现DeepID2+

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

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

deepnude-an-image-to-image-technology

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用GAN图像生成的理论与实践研究。

denseaspp

DenseASPP for Semantic Segmentation in Street Scenes

detecto

Build fully-functioning computer vision models with 5 lines of code

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detr

End-to-End Object Detection with Transformers