College of Computer and Electronic Information, Guangxi University, Nanning, China

ML.Designer

Advanced
@MLearing

Artificial intelligence related research, involving Machine learning, Deep learning and Computer vision

Keras-Brats-Improved-Unet3d. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

91

Pytorch-DeepLab-v3-plus. deeplab v3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

48

Keras-Deeplab-v3-plus. deeplab v3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

16

Pytorch-TuSample-DUC. Understanding Convolution for Semantic Segmentation, web: 1. https://zhuanlan.zhihu.com/p/26659914 2. https://blog.csdn.net/u011974639/article/details/79460893

16

Keras-Unet. U-Net: Convolutional Networks for Biomedical Image Segmentation

10

Keras-RCNN. Rich feature hierarchies for accurate object detection and semantic segmentation

9

Tensorflow-Deeplab-v3. deeplab v3: Rethinking Atrous Convolution for Semantic Image Segmentation

6

Keras-DropBlock. DropBlock:A regularization method for convolutional networks

5

Tensorflow-PyramidBox. PyramidBox: A Context-assisted Single Shot Face Detector

2

ANTs-1.9.x-Linux. Nipype-N4BiasFieldCorrection-Bin, The files has made in bin

2

Caffe-CascadeCNN. Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

2

Keras-Faster-RCNN. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

2

Tensorflow-Yolo-v1. You Only Look Once: Unified, Real-Time Object Detection

2

C-Pydensecrf. Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials. 《Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs》

1

Keras-Switchable-Normalization. Differentiable Learning-to-Normalize via Switchable Normalization

1

Keras-Yolo-v3. YOLOv3: An Incremental Improvement

1

Keras-Tensorflow-Deep-Learning. Detailed introduction to machine learning and deep learning

1

Keras-Focal-Loss. Focal Loss for Dense Object Detection

1

Cardiac-MRI-Segmentation. https://www.sohu.com/a/193020221_798050

1

Tensorflow-MTCNN. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

1

Tensorflow-Gan-Mnist. Generative Adversarial Nets, web:https://blog.csdn.net/lxllzl/article/details/78494071 ,

1

Keras-Contrib. Keras community contributions (eg:common normalization, crf ...... )

1

Machine-Learning. Some simple machine learning algorithm

1

Tensorflow-SSD. Annotation is added to the main code of SSD target detection algorithm

1
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