Pinned Repositories
BeautyCamera
基于PYQT5和图像处理算法的智能美颜相机
CANet
Clash-for-Windows_Chinese
clash for windows汉化版. 提供clash for windows的汉化版, 汉化补丁及汉化版安装程序
clash-verge
A Clash GUI based on tauri. Supports Windows, macOS and Linux.
clash_for_windows
Fndroid/clash_for_windows_pkg/releases 最后备份文件
DGRM
Dual Graph Inference Network for Weakly Supervised Semantic Segmentation
mmdetection
mmdetection for ReasoningRCNN
PlotNeuralNet
深度学习神经网络绘图工具
reasoning-rcnn
Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection
Visual-Reasoning
先验知识引导的目标检测相关论文
mr-duan-ai's Repositories
mr-duan-ai/reasoning-rcnn
Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection
mr-duan-ai/BeautyCamera
基于PYQT5和图像处理算法的智能美颜相机
mr-duan-ai/Visual-Reasoning
先验知识引导的目标检测相关论文
mr-duan-ai/mmdetection
mmdetection for ReasoningRCNN
mr-duan-ai/PlotNeuralNet
深度学习神经网络绘图工具
mr-duan-ai/CANet
mr-duan-ai/Clash-for-Windows_Chinese
clash for windows汉化版. 提供clash for windows的汉化版, 汉化补丁及汉化版安装程序
mr-duan-ai/clash-verge
A Clash GUI based on tauri. Supports Windows, macOS and Linux.
mr-duan-ai/clash_for_windows
Fndroid/clash_for_windows_pkg/releases 最后备份文件
mr-duan-ai/DGRM
Dual Graph Inference Network for Weakly Supervised Semantic Segmentation
mr-duan-ai/element
A Vue.js 2.0 UI Toolkit for Web
mr-duan-ai/gpt4free
The official gpt4free repository | various collection of powerful language models
mr-duan-ai/GRM_layer
External Knowledge Graph Reasoning
mr-duan-ai/lx-music-desktop
一个基于 electron 的音乐软件
mr-duan-ai/radishes
Cross-platform copyright-free music platform(跨平台的无版权的音乐平台). 支持 windows / macos / linux / web
mr-duan-ai/RP-FEM
mr-duan-ai/Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
mr-duan-ai/tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
mr-duan-ai/vue-element-admin
:tada: A magical vue admin https://panjiachen.github.io/vue-element-admin
mr-duan-ai/weakly-supervised-segmentation
Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic Segmentation