Jiaming Zhang (CharmingZh)

CharmingZh

Geek Repo

Company:Michigan State University

Location:MI, USA

Home Page:https://www.cnblogs.com/CharminZh/

Twitter:@_Charm1n

Github PK Tool:Github PK Tool

Jiaming Zhang's repositories

BFU_Free

Useful tools available for all BJFUers~

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Cloud_Server_Storage

A cloud storage system writing in C

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Qtas

Qtas(Quite a Storage)is an experimental distributed storage system developed by Q-team in BJFU Advanced Computer Network sources.

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KAN-Forest

The official implementation of the paper code will be made public after the paper is accepted.

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Quick_Project

A short-term project due in 2 days

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QuickDoc

A quick document to learn a program language/technique

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HSCP

Hyper Spectral Classification Project

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talent-plan

open source training courses about distributed database and distributed systemes

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uthash

C macros for hash tables and more

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workflow

C++ Parallel Computing and Asynchronous Networking Engine

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WTZ_

三个男人三台机,一行代码写一天。

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3d-forest

Visualization, processing and analysis of Lidar point clouds, mainly focused on forest environment. New version of 3D Forest. Process files with terabytes of data. Edit new point attributes. Simple addition of new features by plugins.

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annotate-equations

LaTeX package and annotated examples for annotating equations using TikZ.

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Assignment

Since too many repositories have been created to hold assignments, a new one is created for consolidation.

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CharmingZh.github.io

Personal Introductive Website

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CharmingZh.github.io.old.1

My theme based website

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colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

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CVPR-2023-Papers

CVPR 2023 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!

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Hyper

Have fun in BJFU.

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pcl

Point Cloud Library (PCL)

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PercepTreeV1

Implementation of Grondin et al. 2022 "Tree Detection and Diameter Estimation Based on Deep Learning". Also includes datasets and some of the pretrained models.

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Tutorial-on-PhD-Application

Tutorial on PhD Application

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