Pinned Repositories
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Auto_labelImg
ImgEnhance For Obejct Detection tool
caffe-yolov3
A real-time object detection framework of Yolov3 based on caffe
Count-FLOPs-Params
This is a pytorch type of counting FLOPs and Params of nets。
DetNAS-mmdetection
The DetNAs is a torch type implemented on mmdetection.
GCnet-pytorch
This is a pytorch type of block,including Non-local block,Simple Non-local block,GC block and all GC block; refer to paper《GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond》
pytorch-MyDataset
Pytorch framwork,read your own dataset in the form of txt or csv type
res2net-pytorch
This is pytorch type of paper《Res2Net: A New Multi-scale Backbone Architecture》,including Res2net-50, Res2Next-29。
resnet18-caffe
This file is caffe type of resnet18,including resnet18.prototxt and resnet18-deploy.prototxt
TridentNet-block-pytorch
This is trident-block of pytorch type,which is designed follow the share weight.
dl19940602's Repositories
dl19940602/Python
All Algorithms implemented in Python
dl19940602/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
dl19940602/TridentNet-block-pytorch
This is trident-block of pytorch type,which is designed follow the share weight.
dl19940602/learngit
Git远程仓库
dl19940602/vision
Datasets, Transforms and Models specific to Computer Vision
dl19940602/Auto_labelImg
ImgEnhance For Obejct Detection tool
dl19940602/onnx-tensorrt
ONNX-TensorRT: TensorRT backend for ONNX
dl19940602/DetNAS-mmdetection
The DetNAs is a torch type implemented on mmdetection.
dl19940602/lanenet-enet-hnet
dl19940602/Synchronized-BatchNorm-PyTorch
Synchronized Batch Normalization implementation in PyTorch.
dl19940602/HRNet-Object-Detection
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).
dl19940602/pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
dl19940602/pytorch-MyDataset
Pytorch framwork,read your own dataset in the form of txt or csv type
dl19940602/res2net-pytorch
This is pytorch type of paper《Res2Net: A New Multi-scale Backbone Architecture》,including Res2net-50, Res2Next-29。
dl19940602/image-augmentation
Several methods of image augmentation,which can be applied to image classification,object detection,instance segmentation。
dl19940602/deep_learning_object_detection
A paper list of object detection using deep learning.
dl19940602/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
dl19940602/Count-FLOPs-Params
This is a pytorch type of counting FLOPs and Params of nets。
dl19940602/merge_bn-caffe
In caffe framwork,this .py can merge bn and scale layer into conv layer,which can speed up test。
dl19940602/inception-caffe
This file includes three type of inception: inceptionv1_bn_5×5,inceptionv1_bn_3×3,inceptionv2。
dl19940602/resnet18-caffe
This file is caffe type of resnet18,including resnet18.prototxt and resnet18-deploy.prototxt
dl19940602/latte
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking
dl19940602/pytorch-cifar
95.16% on CIFAR10 with PyTorch
dl19940602/ResNeXt-DenseNet
PyTorch Implementation for ResNet, Pre-Activation ResNet, ResNeXt, DenseNet, and Group Normalisation
dl19940602/caffe
Caffe: a fast open framework for deep learning.
dl19940602/SENet
Squeeze-and-Excitation Networks
dl19940602/caffe-yolov3
A real-time object detection framework of Yolov3 based on caffe
dl19940602/advanced_lane_detection
Advanced lane detection using computer vision
dl19940602/yolo_person_detect
person detect based on yolov3 with several Python scripts
dl19940602/pytorch-tensorboardx-visualization
The use examples of tensorboard on pytorch