Pinned Repositories
caffe
Caffe: a fast open framework for deep learning.
caffe-model
Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks
Caffe-YOLOv3-Windows
A windows caffe implementation of YOLO detection network
cascade-rcnn
Caffe implementation of multiple popular object detection frameworks
cascade-rcnn_Pytorch
An implementation of Cascade R-CNN: Delving into High Quality Object Detection.
darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
darknet-1
darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析
darknet2caffe
Convert darknet weights to caffemodel
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15个章节，近20万字。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
Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
linquanxu's Repositories
linquanxu/caffe
Caffe: a fast open framework for deep learning.
linquanxu/Caffe-YOLOv3-Windows
A windows caffe implementation of YOLO detection network
linquanxu/cascade-rcnn
Caffe implementation of multiple popular object detection frameworks
linquanxu/cascade-rcnn_Pytorch
An implementation of Cascade R-CNN: Delving into High Quality Object Detection.
linquanxu/darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
linquanxu/darknet2caffe
Convert darknet weights to caffemodel
linquanxu/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15个章节，近20万字。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
linquanxu/Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
linquanxu/edgeai
EdgeAI Software and Development Tools
linquanxu/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
linquanxu/fpn.pytorch
Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection
linquanxu/libtorch-yolov3
A Libtorch implementation of the YOLO v3 object detection algorithm
linquanxu/LiteratureDL4Graph
linquanxu/mmdetection
Open MMLab Detection Toolbox and Benchmark
linquanxu/mmdetection-annotated
（continue to be updated）Note on mmdetection for better usage and understand
linquanxu/MobileNetv2-SSDLite-1
My proprietary procedure. Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
linquanxu/MVSNet
MVSNet (ECCV2018) & R-MVSNet (CVPR2019)
linquanxu/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
linquanxu/pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
linquanxu/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
linquanxu/pytorch-demo
A small demo for training cnn with pytorch.
linquanxu/pytorch-maml
An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
linquanxu/pytorch-mobilenet-v3
MobileNetV3 in pytorch and ImageNet pretrained models
linquanxu/PyTorch-YOLOv3-master
目标检测
linquanxu/Robust-Classification-with-Convolutional-Prototype-Learning-Pytorch
PyTorch Implementation of Robust Classification with Convolutional Prototype Learning
linquanxu/self-supervised_AC
linquanxu/simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
linquanxu/skip-ganomaly
Source code for Skip-GANomaly paper
linquanxu/TensorExpand
集成包
linquanxu/vision
Datasets, Transforms and Models specific to Computer Vision