ruhai-huang Goto Github PK

adv_cross_modal_hashing

Efficient Fine-Grained Visual-Text Search Using Adversarially-Learned Hash Codes, IEEE ICME 2021.

agriculture-vision

[CVPR 2020 & 2021] Agriculture-Vision Dataset, Prize Challenge and Workshop: A joint effort with many great collaborators to bring Agriculture and Computer Vision/AI communities together to benefit humanity!

algorithm-notes

Some Simple C/C++ Algorithmic Codes

algorithmbasic2020

算法和数据结构体系学习班

amfmn

The source code of AMFMN and the dataset RSITMD

awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

bbs

break-the-ice-with-python

The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

cbrsirvs

class-notes

全部算法课讲解知识点提纲、题目汇总、PPT合集、学前必读、学习规划

cqu-beamer-latex

CQU的PPT模板

cqu-computer-science

本项目包含重庆大学计算机学院研究生课程的复习资料，是各位学长学姐传承下来的宝贵资料，分享方式是Onedrive 共享链接，有需要的同学可以自取。

cqu_bigdata

2020年本科生大数据导论实验和PPT设计

cqulogo

重庆大学视觉标识素材包 --- Visual Identification Bundle of Chongqing University

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~

cvpr2022-papers-with-code

CVPR 2022 论文和开源项目合集

data-science-notes

数据科学的笔记以及资料搜集

deep-cross-modal-hashing

Deep learning cross modal hashing in PyTorch

demo_ahcl_for_tgrs2022

The code implementation of "Asymmetric Hash Code Learning" (AHCL) for remote sensing image retreival, which was accepted by IEEE Trans. Geosci. Remote Sens. 2022.

farmlandclassification

在线遥感农田分类系统

galr

Source code of paper "Remote Sensing Cross-Modal Image-Text Retrieval Based on Global and Local Information"

gitdemo

Git 学习测试仓库

idea-git-connecttest

latex

ppt 模板

learning-data-mining-with-python-second-edition

Learning Data Mining with Python Second Edition by Packt

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

mcrn

A multi-source cross-modal retrieval network

meetingsystem

ml-notes

notes about machine learning

ml2020

This is to store all homework assigned in ML2020 course.