Pinned Repositories
Agile_web_development_HW2
Agile_web_development_HW3
awesome-data-augmentation
This is a list of awesome methods about data augmentation.
baseline
competition-baseline
数据科学竞赛各种baseline代码、思路分享
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
e2e
完成TodoList自动化测试
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
hello-algorithm
🙈🙉🙊 本项目包括:1、我写的三十万字图解算法题典 2、100 张 IT 相关超清思维导图 3、100 篇大厂面经汇总 4、各语言编程电子书 100 本 5、English version supported !!! 🚀🚀 国人项目上榜首不易,右上角助力一波!干就对了,奥利给 !🚀🚀
yolo2voc
convert yolo format to voc format
yustaub's Repositories
yustaub/yolo2voc
convert yolo format to voc format
yustaub/hello-algorithm
🙈🙉🙊 本项目包括:1、我写的三十万字图解算法题典 2、100 张 IT 相关超清思维导图 3、100 篇大厂面经汇总 4、各语言编程电子书 100 本 5、English version supported !!! 🚀🚀 国人项目上榜首不易,右上角助力一波!干就对了,奥利给 !🚀🚀
yustaub/Agile_web_development_HW2
yustaub/Agile_web_development_HW3
yustaub/awesome-data-augmentation
This is a list of awesome methods about data augmentation.
yustaub/baseline
yustaub/competition-baseline
数据科学竞赛各种baseline代码、思路分享
yustaub/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
yustaub/e2e
完成TodoList自动化测试
yustaub/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
yustaub/Machine-Learning
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
yustaub/PANDA-Toolkit
PANDA dataset tool kit for data visualization, splitting, merging, and result evaluation.
yustaub/paper-reading
深度学习经典、新论文逐段精读
yustaub/SimpleCVReproduction
:punch: Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking :smile: etc.
yustaub/swa_object_detection
SWA Object Detection
yustaub/Tianchi-2019-Guangdong-Intelligent-identification-of-cloth-defects-rank5
天池2019广东工业智造创新大赛 布匹疵点检测 天池水也太深了 季军解决方案
yustaub/TianchiGuangdong2019_2th
yustaub/Todo-list
yustaub/Todo-list2
yustaub/Todo-list_Team5
yustaub/wallpaper
从bing获取每日一图并设置为本机桌面壁纸
yustaub/weathersystem
yustaub/YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
yustaub/YOLOv5-Multibackbone-Compression
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite), Pruning (EagleEye) and Quantization (MQBench) Compression Tool Box.