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fuzhaoke's Projects

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基于深度学习的建筑运行能耗预测和评价研究和应用

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

avvp-eccv20 icon avvp-eccv20

Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing, ECCV, 2020. (Spotlight)

calendar icon calendar

这是一个符合**人使用习惯的Android上自定义日历控件。

calendarlistview icon calendarlistview

A custom ListView combine with CalendarView which interactive each other.

darknet icon darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

expert_readed_books icon expert_readed_books

2021年最新总结,推荐工程师合适读本,计算机科学,软件技术,创业,**类,数学类,人物传记书籍

fcos icon fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

fitlog icon fitlog

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

ftp icon ftp

Implementation of a simple FTP client and server

ftp-1 icon ftp-1

Lightweight FTP server written in C

ftp-myself icon ftp-myself

FTP 一个文件上传下载的文件传输系统。

java icon java

All Algorithms implemented in Java

javaguide icon javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!

mydynamiccalendarexample icon mydynamiccalendarexample

This is an Android Library for developer to use customized calendar with all type of views and features, like Month View, Week View, Day View, Agenda, Add Events, Add Holiday etc. So all of these features contain in one calendar.

ota icon ota

Official implementation of our CVPR2021 paper "OTA: Optimal Transport Assignment for Object Detection" in Pytorch.

rsa icon rsa

C++ code of 1024 rsa

structure_knowledge_distillation icon structure_knowledge_distillation

The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

tachftp icon tachftp

FTP Server for linux (ftp服务器)

transferlearning icon transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

yolov3 icon yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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