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learngit

learngit2

lung-segmentation-2d

Lung fields segmentation on CXR images using convolutional neural networks.

medical-image-classification-using-deep-learning

Tumour is formed in human body by abnormal cell multiplication in the tissue. Early detection of tumors and classifying them to Benign and malignant tumours is important in order to prevent its further growth. MRI (Magnetic Resonance Imaging) is a medical imaging technique used by radiologists to study and analyse medical images. Doing critical analysis manually can create unnecessary delay and also the accuracy for the same will be very less due to human errors. The main objective of this project is to apply machine learning techniques to make systems capable enough to perform such critical analysis faster with higher accuracy and efficiency levels. This research work is been done on te existing architecture of convolution neural network which can identify the tumour from MRI image. The Convolution Neural Network was implemented using Keras and TensorFlow, accelerated by NVIDIA Tesla K40 GPU. Using REMBRANDT as the dataset for implementation, the Classification accuracy accuired for AlexNet and ZFNet are 63.56% and 84.42% respectively.

micro8

my-auto-green

neural-storyteller

A recurrent neural network for generating little stories about images

nsfw_data_scraper

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

paper

remote sensing image segment

planeobjectdetect

使用最基础的Two Stage策略进行遥感图像中的飞机目标识别，本识别代码可以轻松移植到任何的目标检测任务中，只需要你重新训练CNN网络

pytorch-segmentation-detection

Image Segmentation and Object Detection in Pytorch

ransomware

A POC Windows crypto-ransomware (Academic)

refinenet-image-segmentation

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

retrieval-2017-cam

Class-Weighted Convolutional Features for Image Retrieval

segmentation_keras

DilatedNet in Keras for image segmentation

segnet

A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

semantic-segmentation

Semantic segmentation of remote sensing image, using DeepLabv3（PyTorch）

semantic_segmentation

Semantically segment the road in the given image.

tensorflow

利用Tensorflow的深度学习框架搭建CNN网络进行“卫星遥感图像”的识别与预测

tensorflow-segmentation

Semantic image segmentation in Tensorflow

testrepository

testrepositoryname

textclassification

deep learning in text classification(keras)

tianchi-medical-lungtumordetect

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

tianchiorgame

天池比赛，kaggle，点石

umi-ocr

OCR图片转文字识别软件，完全离线。截屏/批量导入图片，支持多国语言、合并段落、竖排文字。可排除水印区域，提取干净的文本。基于 PaddleOCR 。

unet-family

Paper and implementation of UNet-related model.

vgg16cam-keras

Keras implementation of the VGG16-CAM model

wechat_dljump

神经网络实现微信跳一跳辅助 keras

yolo-boundingbox-labeler-gui

Bounding box labeler tool to generate the training data in the format YOLO v2 requires.