Open Source Computer Vision Library

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

Comprehensive and open-source library of analysis tools for MRI of the spinal cord.

R-FCN with joint training and python support

TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.

A deep learning framework for lung cancer prediction built with Lasagne/Theano

This is a repository for a lung cancer detector trained on the training set for Data Science Bowl 2017

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network / Please Star -->

End-to-end training for breast cancer diagnosis using deep all convolutional networks

Convolutional and LSTM networks to classify human activity

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

RFCN implementation in TensorFlow

Keras Implementation of faster-rcnn

Jupyter Notebooks for the Python Data Science Handbook

AIND Term 2 -- CNN Project

Keras implementation of YOLO

肺结节分割

Using Kaggle cats vs dogs dataset

Implementation of YOLO version 2 in Keras

Use 3D convolutional network to predict the speed of a car via dashcam stream. The final mean squared error on validation set is 3.1 (mile/hour)^2.

Basic Machine Learning and Deep Learning

Deep Learning Toolkit for Medical Image Analysis

An implement of paper "Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection"

U-Net Brain Tumor Segmentation in TensorFlow

阿里云天池医疗大赛肺部肿瘤检测项目

Residual networks implementation using Keras-1.0 functional API

3d convnet for the classification of nodules/tumor in lung CT scans. Trained on Luna16 for Kaggle's 2017 data science bowl competition (result in top 3%)

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!