manal-asdg

manal-asdg's Stars

• pochih/ML2016

  Machine Learning, 2016 Fall. @ National Taiwan University

  Language:Python42

• gschengcong/Semi-Supervised-CNN-for-Sentiment-Analysis

  implementation of several CNN models for Sentiment Analysis using tensorflow

  Language:Python39

• styloInt/SemiSupervised_itterativeCNN

  Language:Python53

• Dvangelion/CNN

  Image classification using CNN and transfer learning

  Language:Python36

• DeepakSridhar/Deep-Learning-Coursera

  This repository contains the programming assignments for Deep Learning specialization courses by Andrew Ng. It deals with the following concepts. DNNs, Hyperparameter tuning, Regularization, Optimization, CNNs (LeNet5, AlexNet, VGG, ResNet, Inception Network), Transfer Learning (Neural Style Transfer), RNNs (LSTM, GRU) and Structuring Machine Learning Projects.

  Language:Python2817

• amoghadishesha/Transfer-Learning-

  In this project, we modified and retrained an existing pre-trained CNN (vgg16) to detect airplanes in the images. We run the code in Python, using vgg16 pre-trained network and subset of Caltech-101 dataset which are available online. While retraining the vgg16 network, We froze most of the layers in it and modified the last 3 layers (fully connected layer, fully connected layer, and softmax). In the end the new CNN can distinguish planes (class 1) from all other object (class 0) in the images with a reasonably good accuracy.

  Language:Python62

• dpkingma/nips14-ssl

  Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

  Language:Python512147

• saemundsson/semisupervised_vae

  Replication of Semi-Supervised Learning with Deep Generative Models

  Language:Python9837

• rinuboney/ladder

  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

  Language:Python24292

• t-sakai-kure/PNU

  MATLAB code for semi-supervised learning based on positive-unlabeled learning

  Language:Matlab111

• mehmetgonen/bssml

  Bayesian (Semi-)Supervised Multilabel Learning

  Language:Matlab117

• durandtibo/wildcat.pytorch

  PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

  Language:Python26761

• pathak22/ccnn

  [ICCV 2015] Framework for optimizing CNNs with linear constraints for Semantic Segmentation

  Language:C++6427

• HyeonwooNoh/DecoupledNet

  DecoupledNet: Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation

  Language:Python7441

• ignaciorlando/red-lesion-detection

  This code implements a red lesion detection method based on a combination of hand-crafted features and CNN based descriptors. Our paper is under revision now, so please do not use this repository until we release the paper.

  Language:MATLAB4714

• clamesc/Machine-Learning-in-Medical-Imaging--U-Net

  TUM_MLMI_SS16: Convolutional Neural Network using U-Net architecture to predict one modality of a brain MRI scan from another modality.

  Language:Matlab2510

• ultrai/Chap_3

  Classification of retinal data

  Language:Lua81

• sthorn/retinopathy

  Using deep features/transfer learning to classify diabetic retinopathy.

  Language:Jupyter Notebook113

• ignaciorlando/overfeat-glaucoma

  This code corresponds to our paper with Matthew B. Blaschko, Elena Prokofyeva and Mariana del Fresno on Convolutional neural network transfer for automated glaucoma identification (SIPAIM 2016).

  Language:Matlab103

• HzFu/MNet_DeepCDR

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

  Language:Jupyter Notebook16952

• seva100/optic-nerve-cnn

  Code repository for a paper "Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network"

  Language:Jupyter Notebook12358

• cauchyturing/kaggle_diabetic_RAM

  Extended Retinopathy Detection Challenge with the Regression Activation Map for visual explaination

  Language:Jupyter Notebook8742

• amanrana20/Diabetic_Retinopathy_Detection

  Code for the kaggle challenge: Diabetic Retinopathy Detection (TensorFlow)

  Language:Python3028

• ignaciorlando/cnn-dr-kaggle

  Diabetic retinopathy detection using Convolutional Neural Networks. This code is part of our project with Pablo Rubí, Nicolás Dazeo, Carlos Bulant and Hugo Luis Manterola.

  Language:Python45

• hitchpy/Kaggle-Diabetic-Retinopathy-Detection

  Archive for my CNN model for diabetic kaggle competition

  Language:Python126

• hoytak/diabetic-retinopathy-code

  Code for the Kaggle competition http://www.kaggle.com/c/diabetic-retinopathy-detection

  Language:Python8963

• sveitser/kaggle_diabetic

  2nd place solution for the Kaggle Diabetic Retinopathy Detection Challenge

  Language:Python247121

• btgraham/SparseConvNet-archived

  Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

  Language:C++406122

• mawady/DeepRetinalClassification

  3-Class Retinal Classification via Deep Network Features and SVM Classifier (Academic Research Use)

  Language:Matlab2211

• sajjad-ahmed/detecting-diabetic-retinopathy-using-neural-network

  detecting-diabetic-retinopathy-using-neural-network-in-matlab

  Language:Matlab41