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modified-split-bregman

We modify the Split Bregman algorithm to find minimizers of nonsmooth energy functionals in 1-d bounded domains.

nmsu_yhao_ijcai2020

This is the GitHub repository for our publication "A new attention mechanism to classify multivariate time series", by Yifan Hao and Huiping Cao, which has been accepted to be published in IJCAI 2020.

nnunet

openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

pso

粒子群算法 matlab2016b

pytorch-camp

pytorch-learning

pytorch-unet

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

pytorch-unet-1

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch-unsupervised-segmentation

rcnn

R-CNN: Regions with Convolutional Neural Network Features

region-growing-and-fuzzy-c-mean-segmentation

relation_extraction

Knowledge Base Embedding

remote-sensing-image-semantic-segmentation

The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.

remoteimage_denoise

remote sensing image denoising based on wavelet method

resunet-a

For the semantic segmentation of remote sensing image, tensorflow implementation

roadtracer

road_detection_mtl

Road Detection from Remote Sensing Imagery using Deep Learning Techniques

rsdehaze

Haze removal for a single visible remote sensing image. (Singnal Processing 2017)

seal

Code for Simultaneous Edge Alignment and Learning (SEAL)

semantic-segmentation-of-remote-sensing-images

遥感图像的语义分割，分别使用Deeplab V3+(Xception 和mobilenet V2 backbone)和unet模型，keras+python

semantic-segmentation-of-remote-sensing-images-1

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

semantic-segmentation-suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

shogun

The Shogun Machine Learning Toolbox (Source Code)

split-bregman-total-variation-jacobian-matrix

Constrained total variation image reconstruction problem solved using the Split Bregman formulation where the Jacobian is provided as a matrix

standard-and-chaotic-firefly-algorithm

MATLAB implementations of standard and chaos-incorporated versions of the firefly metaheuristic tested on continuous optimization functions.

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

superpixel-based-fast-fuzzy-c-means-clustering-for-color-image-segmentation

We propose a superpixel-based fast FCM (SFFCM) for color image segmentation. The proposed algorithm is able to achieve color image segmentation with a very low computational cost, yet achieve a high segmentation precision.

tensorflow-tutorial

Tensorflow tutorial from basic to hard