junliangma

DeepLeague

(Open Source) Computer Vision + Deep Learning + League of Legends

Color-based--and-shape-based-segmentation-

Color-based and shape-based segmentation using HSV and regionprops

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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.

bitcoin

Bitcoin Core integration/staging tree

large_scale_ssl

Large Graph Construction for Scalable Semi-Supervised Learning

generativeSSL

Deep generative model for labels for semi-supervised learning

SemanticSegmentation_DL

Some implementation of semantic segmantation for DL model

metric-learn

Metric learning algorithms in Python

CNIMN

Identifying Missing Nodes in Social Network Based On Common neighbors

py_gcn

A Pytorch Version GCN

python-data-structure-cn

problem-solving-with-algorithms-and-data-structure-using-python 中文版

rgcli

GraphLearning

SJTU,graduate project,semi-supervised based on graph

GraphSSL

Semi Supervised learning methods with graphs in python.

gspbox

Graph Signal Processing in Matlab

FSASL

An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 2015.

superpixel-benchmark

An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

gcn_metric_learning

Metric Learning with Graph Convolutional Neural Networks

ssl_graph

Semi supervised learning on graphs

Label-Propagation-1

Label Propagation, Maximum Flow / Minimum Cut on the Karate Network

Link-Prediction-using-Random-Walks

Final Year Project for BTech in CSE at RCCIIT

ssl_superpixels

Semi Supervised Learning Superpixels

GraphLearningSparsityPriors

Code to go with ICASSP 2017 publication "Graph learning under sparsity priors"

ConvNetDraw

Draw multi-layer neural network in your browser 画神经网络结构

Graph_Learning

Graph Learning from Data under Laplacian and Structural Constraints

gpbcuda

CUDA implementation of GlobalPb based on bryancatanzaro's damascene

link_prediction

dataset-interactive-algorithms

Database for supervised evaluation of seed-based interactive image segmentation algorithms.

Semi-supervised_MNIST

Pytorch Code for Semi-supervised Learning on MNIST Data Set

EAGR

Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization