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3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

accessing-and-modifying-different-layers-of-a-pretrained-model-in-pytorch

active-learning-for-brats

brain-tumor-segmentation

A deep learning approach for brain tumor MRI segmentation

brain-tumor-segmentation-1

Brain Tumor Segmentation done using U-Net Architecture.

brain-tumor-segmentation-using-deep-learning

#BRATS2015 #BRATS2018 #deep learning #fully automatic brain tumor segmentation #U-net # tensorflow #Keras

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

Keras implementation of paper by the same name

complete-life-cycle-of-a-data-science-project

Complete-Life-Cycle-of-a-Data-Science-Project

deep-neural-ensembles-toward-malaria-parasite-detection-in-thin-blood-smear-images

This study evaluates the performance of custom and pretrained CNNs and construct an optimal model ensemble toward the challenge of classifying parasitized and normal cells in thin blood smear images. The results obtained are encouraging and superior to the state-of-the-art.

deepcompression-caffe

Caffe for Deep Compression

enet-real-time-semantic-segmentation

ENet - A Neural Net Architecture for real time Semantic Segmentation

fastbook

Draft of the fastai book

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

foodordering

外卖点餐App，包含了基本订餐流程（支付方式未实现）。此外还集成了二维码扫描，当前定位城市天气查询，智能客服助手（图灵机器人），调用第三方地图导航，微信分享等功能

fundamentals-of-deep-learning-book

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

fusenet-pytorch

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

hands-on-image-processing-with-python

image-classification-caltech-256

Exploring CNNs and model quantization on Caltech-256 dataset

imgclsmob

Sandbox for training convolutional networks for computer vision

introduction-datascience-python-book

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

keras-fcn

Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished）

keras-unet

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

lungnoduledetectionclassification

Automated Extraction and Classification of Pulmonary Lung Nodules from CT Scans

matlab-realtime-multiple-face-detection-and-tracking

matlab multiple face detection and tracking using kalman filters

mobilenet-customdata

This is a pytorch version of mobilenet implemented by Jupyter Notebook, the dataset consists of imagenet dataset and custom dataset.

multiclass-semantic-segmentation-camvid

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

nasnet-pytorch

A neat pytorch implementation of nasnet and the ported weights from tensorflow

pysyft

A library for encrypted, privacy preserving machine learning

pytorch-cifar

95.16% on CIFAR10 with PyTorch