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matlabfunc

Matlab codes for feature learning

mc-gan

Multi-Content GAN for Few-Shot Font Style Transfer at CVPR 2018

melanoma-recognition

Repository of paper "Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks"

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

model_latex_unoesc

mr_saliency

a python implementation of manifold ranking saliency

omniglot

Omniglot data set for one-shot learning

one-shot-relational-learning

Code for One-shot Relational Learning for Knowledge Graphs

postprocessingtools

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

prototypical-networks-for-few-shot-learning-pytorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

pwc

Papers with code. Sorted by stars. Updated weekly.

ranking_saliency

c++ code for paper "saliency detection via graph-based manifold ranking" by chuan yang, lihe zhang, huchuan lu, xiang ruan, ming-hsuan yang

retina-unet

Retina blood vessel segmentation with a convolutional neural network

sacs_tip2014

The Matlab code for Self-adaptively Weighted Co-saliency (SACS) Detection

salbenchmark

Salient Object Detection: A Benchmark

salientector

Salient Region Detector and Separation from Images

scalpel

Segmentation Cascades with Localized Priors and Efficient Learning

segmentation-of-basal-ganglia-region-using-stacked-sparse-autoencoder

skiprnn_pytorch

A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"

spl2017

Informed Group-Sparse Representation for Singing Voice Separation

structsiam

superpoint_graph

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

swag

Matlab code to accompany the paper 'A Penalty Function Promoting Sparsity Within and Across Groups', by I. Bayram and S. Bulek.

tf_unet

Generic U-Net Tensorflow implementation for image segmentation

treesgs

Tree-guided sparse group selection

vision-based-melanoma-classification

A Deep Learning based classification of Melanoma trained on the ISIC 2016 dataset.

xvision

Chest Xray image analysis using Deep learning !