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Ning's Projects

awesome-semantic-segmentation-pytorch icon awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

flower-recognition icon flower-recognition

🌺🌻 Using state-of-the-art pre-trained Deep Neural Net architectures for Flower Species Recognition

image_class icon image_class

基于keras集成多种图像分类模型: VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet

keras-yolo3 icon keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

leetcodeanimation icon leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mmkb icon mmkb

Several data modalities for KBs (visual, numerical, temporal, etc.)

panet icon panet

PANet for Instance Segmentation and Object Detection

r.landslide icon r.landslide

r.landslide is a free and open source add-on to the open source Geographic Information System (GIS) GRASS software for the mapping of landslide susceptiblity. The tool was developed in Python language and works on the basis of Artificial Neural Networks (ANNs) fed with environmental parameters and landslide databases. The module can be used by natural disaster management bodies and land use planning organs as a support tool for the elaboration of landslide susceptibility maps in an agile and efficient manner.

rmdl icon rmdl

RMDL: Random Multimodel Deep Learning for Classification

tensorflow-yolov3 icon tensorflow-yolov3

🔥 Pure tensorflow Implement of YOLOv3 with support to train your own dataset

tf-slim-inception icon tf-slim-inception

tensorflow-slim下的inception_v3、inception_v4、inception_resnet_v2分类模型的数据制作、训练、评估、导出模型、测试

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

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