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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

imageclassificationcnn

interview

📚 C/C++面试知识总结

interview-notebook

:calendar: 准备秋招学习笔记

irf-segmenter

Deep learning based, intraretinal fluid segmenter for macular OCTs

jermanenhancementfilter

Jerman's tubular (vessel) and spherical (blob) enhancement filters

jupyter-themes

Custom Jupyter Notebook Themes

keras

Deep Learning for humans

keras-mixed-scale-dense-net

Keras implementation of Mixed-scale Dense Net (MS-D Net) object segmentation

kubevirt

Kubernetes Virtualization API and runtime in order to define and manage virtual machines.

lantern

Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 lantern proxy vpn censorship-circumvention censorship gfw accelerator

lgmm

Registering Retinal Vessel Images from Local to Global via Multiscale and Multicycle Features

matconvnet

use matconvnet to train my own image classification

matconvnet-breast-cancer

Course project code for a breast cancer image classification task.

matconvnet-calvin

Code for several state-of-the-art papers in object detection and semantic segmentation.

matconvnet-fcn

A MatConvNet-based implementation of the Fully-Convolutional Networks for image segmentation

matlaboct

mech3921

medical-image-processing

Recognizing and Refining the location of Individual Vessels in Segmented Retinal Images

micro-net-for-retinal-layer-segmentation

Micro-net is a convolution neural network (CNN) based deep learning architecture for segmentation of objects in microscopy images. We are implementing the same architecture for the Retinal Layer Segmentation.

mlrfs

Multi-Layer Random Forest [for Image] Segmentation

mlrfswcf

Multi-Layer Random Forest, with Circularity Features, for Image Segmentation

mnet_deepcdr

Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"

models

Models and examples built with TensorFlow

ms-d_net

A mixed-scale dense convolutional neural network for image analysis

ms-d_net_pytorch

PyTorch implementation of Mixed-Scale Dense Convolutional Neural Network (MS-D Net) for Image Analysis

multi-layer-segmentation

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

neutrosophic_clust

nnp1.classification.of.image.data.using.mlp

A repository that includes all code created for the realization of the first Neural Networks Project