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adenocarcinoma-nuclei

Nuclei Detection on Adencarcinoma Cancer Histologies

books

"我的阅历"

brain_segmentation

Segment 3D MRIs of the brain into anatomical regions

carnd-alexnet-feature-extraction

This lab guides you through using AlexNet and TensorFlow to build a feature extraction network.

ccnn

Framework for optimizing CNNs with linear constraints.

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

crfasrnn_keras

CRF-RNN Keras/Tensorflow version

cs231n.github.io

Public facing notes page

deep-learning-in-python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-metric-learning-cvpr16

Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation

delving-deep-into-gans

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dsb2017

Code for 2nd place solution to the 2017 National Data Science Bowl

fast-pytorch

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

feature-extraction

Computer vision feature extraction toolbox for image classification

generative-adversarial-networks

Tutorial on GANs

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

helloworld

Test Test

kits19

The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

lung-image-analysis

A basic framework for pulmonary nodule detection and characterization in CT

lung-nodule-detection

lungcancerdetection

Use CNN to detect nodules in LIDC dataset.

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

mask_rcnn

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

matlab-interactive-3d-graph-cut

Interactive 3D Graph Cut for Matlab