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zzzzzzyang's Projects

abc icon abc

pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning

awesome-fer icon awesome-fer

Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)

bustub icon bustub

The BusTub Relational Database Management System (Educational)

camera_flask_app icon camera_flask_app

Camera app using flask, OpenCV wherein we can click pictures, record videos, apply filters like greyscale, negative and 'face only' snapchat filter.

cnn-lstm icon cnn-lstm

CNN LSTM architecture implemented in Pytorch for Video Classification

code-roadmap icon code-roadmap

原创编程学习路线,包括全面的知识点、免费资源、面试题、学习建议、项目,适用于所有学习编程、求职的同学。已完成 Java、前端

conformer icon conformer

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

cs-books icon cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

cv-backbones icon cv-backbones

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

dan icon dan

Official implementation of DAN

depression-detect icon depression-detect

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

face.evolve icon face.evolve

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

leveldb icon leveldb

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

libhv icon libhv

🔥 比libevent、libuv更易用的网络库。A c/c++ network library for developing TCP/UDP/SSL/HTTP/WebSocket/MQTT client/server.

man icon man

Official implementation of our PRL paper: MAN: Mining Ambiguity and Noise for Facial Expression Recognition in the Wild

micro-todolist icon micro-todolist

Go语言微服务实战,go-micro+gin+gorm+rabbitMQ 构造简单备忘录,包括ETCD作为服务发现,JWT鉴权,降级熔断等等

mixupfamily icon mixupfamily

The implementation of mixup and mainfold mixup method with standard models(PreActRes, WideRes, Dense) in Cifar10, Cifar100 and SVHN dataset on supervised(sl) and semi-supervised(ssl) tasks.

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