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bank_interview

:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

birads_classifier

High-resolution breast cancer screening with multi-view deep convolutional neural networks

brain-tumor-segmentation-using-deep-neural-networks

Keras implementation of paper by the same name

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

breastcancer_classification

Machine learning classifier for cancer tissues

caffe

Caffe: a fast open framework for deep learning.

cifar-10-cnn

Play deep learning with CIFAR datasets

cnn_finetune

Fine-tune CNN in Keras

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

densenet

DenseNet implementation in Keras

densenet-tensorflow

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.2rc0

gnnpapers

Must-read papers on graph neural network (GNN)

hyperdensenet

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

image-super-resolution

Implementation of Super Resolution CNN in Keras.

image_classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

imgcrop

Simple image augmentation library focusing on random geometric cropping

java-interview

Java 面试必会 直通BAT

javaguide

【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

learn-regex

Learn regex the easy way

leetcode-editor

Do Leetcode exercises in IDE, support leetcode.com and leetcode-cn.com, to meet the basic needs of doing exercises.Support theoretically: IntelliJ IDEA PhpStorm WebStorm PyCharm RubyMine AppCode CLion GoLand DataGrip Rider MPS Android Studio

login_taobao

模拟登录淘宝

luna16_multi_size_3dcnn

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

machine-learning

mri-breast-tumor-segmentation

mri-tumor-segmentation-brats

MRI medical image segmentation

msrn-pytorch

This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

multi-scale-curriculum

Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification