tlament

tlament's Stars

• suanrong/SDNE

  This is a implementation of SDNE (Structural Deep Network embedding)

  Language:Python322119

• erogol/KLP_KMEANS

  Very fast Clustering with Kohonen Learning Procedure KMEANS based on NUMPY, SCIPY or THEANO

  Language:Python3912

• siddheshk/Faster-Kmeans

  Code for a faster K-means clustering heuristic

  Language:Python12045

• arxlan786/Malware-Analysis

  Static and Dynamic Analysis of Malware Samples

  Language:Jupyter Notebook116

• cyberhunters/Malware-Detection-Using-Machine-Learning

  Multi-class malware classification using Deep Learning

  Language:Jupyter Notebook7124

• AbertayMachineLearningGroup/network-threats-taxonomy

  Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies

  Language:TeX10425

• Antimalweb/URLNet

  Code for the paper URLNet - Learning a URL Representation with Deep Learning for Malicious URL Detection

  Language:Python15360

• Jack-Cherish/Machine-Learning

  :zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

  Language:Python9.1k5.1k

• benedekrozemberczki/MUSAE

  The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)

  Language:Python15821

• px528/AdaboostExample

  AdaboostExample

  Language:Python4320

• olivertomic/hoggorm

  Explorative multivariate statistics in Python

  Language:Python8025

• LouisScorpio/datamining

  learn in datamining

  Language:Python522848

• MachineLearningLessonGroup/ml_assignment2

  机器学习第二次作业：多分类的AdaBoost.MH AdaBoost.MR

  Language:Python85

• nathanntg/adaboost

  Simple Python Adaboost Implementation

  Language:Python2518

• jaimeps/adaboost-implementation

  Implementation of AdaBoost algorithm in Python

  Language:Python17683

• lightaime/deep_gcns

  Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

  Language:Python63089

• benedekrozemberczki/GEMSEC

  The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

  Language:Python25350

• dihuang0220/GraphEnsembleLearning

  Graph Representation Ensemble Learning

  Language:Python11

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.3k3.6k

• vikasverma1077/GraphMix

  Code for reproducing results in GraphMix paper

  Language:Python7214

• CRIPAC-DIG/H-GCN

  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

  Language:Python11826

• thunlp/OpenNE

  An Open-Source Package for Network Embedding (NE)

  Language:Python1.7k485

• vuptran/graph-representation-learning

  Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

  Language:Python25367

• thunlp/CANE

  Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"

  Language:Python19078

• vector-1127/SACNNs

  a unified convolution on both Euclidean and non-Euclidean domains

  254

• zhangqianhui/vae-gan-tensorflow

  Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"

  Language:Python12827

• daiquanyu/AdvT4NE_WWW2019

  Adversarial Training Methods for Network Embedding, WWW2019.

  Language:Python276

• NaxAlpha/xgan

  A highly customizable implementation of GAN for rapid prototyping using PyTorch

  Language:Jupyter Notebook15

• THUDM/GraphSGAN

  Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.

  Language:Python8520

• danielzuegner/netgan

  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

  Language:Jupyter Notebook19167