A collection of AWESOME things about domian adaptation

Implementations of few-shot object detection benchmarks

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

Central Difference Convolutional Networks

MarginDistillation: distillation for margin-based softmax

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

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

A collection of awesome resources in Human Pose estimation.

Deep face Analysis

alibabacloud-aiacc-demo

PyTorch implementation of Additive Angular Margin Loss for Deep Face Recognition.

用C++实现一个mxnet版本dropblock Op 最后可以用mx.sym.Dropblock（）调用

人员佩戴口罩检测数据集

Pytorch implementation of Quadratic Additive Angular Margin Loss for Face Recognition

服务侧深度学习部署案例

Face Recognition Loss on Mnist, Pytorch implementation

AutoGluon: AutoML Toolkit for Deep Learning

船长关于机器学习、计算机视觉和工程技术的总结和分享

基于人脸关键区域提取的人脸识别（LFW:99.82%+ CFP_FP:98.50%+ AgeDB30:98.25%+）

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

train insight face with stn

A quickstart and benchmark for pytorch distributed training.

计算机专业课（408）思维导图和笔记：计算机组成原理（第五版 王爱英），数据结构（王道），计算机网络（第七版 谢希仁），操作系统（第四版 汤小丹）

State-Of-The-Art ReID Baseline

A guideline for building practical production-level deep learning systems to be deployed in real world applications.