MonsterLWR

eladmin

eladmin jpa 版本：项目基于 Spring Boot 2.6.4、 Jpa、 Spring Security、Redis、Vue的前后端分离的后台管理系统，项目采用分模块开发方式， 权限控制采用 RBAC，支持数据字典与数据权限管理，支持一键生成前后端代码，支持动态路由

deep_learning_object_detection

A paper list of object detection using deep learning.

Tinyhttpd

Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net

cJSON

Ultralightweight JSON parser in ANSI C

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

perf-tools

Performance analysis tools based on Linux perf_events (aka perf) and ftrace

awesome-java

Collection of awesome Java project on Github(非常棒的 Java 开源项目集合).

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

Awesome-Incremental-Learning

Awesome Incremental Learning

My-Blog

:palm_tree::octocat:A simple & beautiful blogging system implemented with spring-boot & thymeleaf & mybatis My Blog 是由 SpringBoot + Mybatis + Thymeleaf 等技术实现的 Java 博客系统，页面美观、功能齐全、部署简单及完善的代码，一定会给使用者无与伦比的体验

tinyvm

TinyVM is a small, fast, lightweight virtual machine written in pure ANSI C.

SimpleKernel

Simple kernel for learning operating systems. 用于学习操作系统的简单内核

WebBench

Webbench是Radim Kolar在1997年写的一个在linux下使用的非常简单的网站压测工具。它使用fork()模拟多个客户端同时访问我们设定的URL，测试网站在压力下工作的性能，最多可以模拟3万个并发连接去测试网站的负载能力。官网地址:http://home.tiscali.cz/~cz210552/webbench.html

Multitarget-tracker

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

StanfordQuadruped

jvm_book

《深入理解Java虚拟机（第3版）》样例代码&勘误

prepare_detection_dataset

convert dataset to coco/voc format

6.S081-All-in-one

6.S081课程全记录，包括课程使用的书籍、论文、实验要求的中文翻译，以及实验过程记录

asbru-cm

Ásbrú Connection Manager is a user interface that helps organizing remote terminal sessions and automating repetitive tasks.

centerX

This repo is implemented based on detectron2 and centernet

DroneVehicle

Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

awesome-anchor-free-object-detection

In this project, we focus on collection the anchor free object detection paper or code.

DCNv2

Deformable Convolutional Networks v2 with Pytorch

arm64_programming_practice

darknet2caffe

Convert darknet weights to caffemodel

ONNXToCaffe

pytorch -> onnx -> caffe, pytorch to caffe, or other deep learning framework to onnx and onnx to caffe.

Tracking_by_detection

A system use yolov3/KCF&DSST/KF to detect,tracking and estimate the target location

Few-shot-Object-Detection-via-Feature-Reweighting

GAAS-Object-Tracking

Object Tracking for GAAS

dji_osdk_python