Pinned Repositories
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CarND-Advanced-Lane-Lines
darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection
darknet-1
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
DataAugment_offline
主要实现了Albumentations的线下增强(修复了别人的bug)和Cutmix改进
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
demoCaffe
interview
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
pyqt5-qtquick2-example
An example of QtQuick 2 providing material and fluent design themes in PyQt5.
singularityplay
an docker singularity
liangqh's Repositories
liangqh/CarND-Advanced-Lane-Lines
liangqh/-
liangqh/darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection
liangqh/darknet-1
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
liangqh/DataAugment_offline
主要实现了Albumentations的线下增强(修复了别人的bug)和Cutmix改进
liangqh/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
liangqh/demoCaffe
liangqh/interview
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
liangqh/pyqt5-qtquick2-example
An example of QtQuick 2 providing material and fluent design themes in PyQt5.
liangqh/singularityplay
an docker singularity
liangqh/TimeCycle
Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)
liangqh/Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
liangqh/YOLOv3-model-pruning
在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）