Julienycw's starred repositories
ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
awesome-public-datasets
A topic-centric list of HQ open datasets.
labelImg
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
Rotating-machine-fault-data-set
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
AdvancedEAST
AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.https://github.com/huoyijie/raspberrypi-car
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
deep-learning-models
Keras code and weights files for popular deep learning models.
yolo2-pytorch
YOLOv2 in PyTorch
Rotating-machine-fault-data-set
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
2017_im2latex_original
arXiv: 1609.04938
mobilenetv3
mobilenetv3 with pytorch,provide pre-train model
Synchronized-BatchNorm-PyTorch
Synchronized Batch Normalization implementation in PyTorch.
pytorch-fcn
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
SegLossOdyssey
A collection of loss functions for medical image segmentation
resnet101_unet_frn
unet with resnet101 and Filter Response Normalization
Lane-Segmentation-Solution-For-BaiduAI-Autonomous-Driving-Competition
Lane Segmentation Solution for Baidu AI PaddlePaddle Autonomous Driving Competition(1st Place)
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