Alternatives and similar repositories for graph-based-semi-supervised-learning

Users that are interested in graph-based-semi-supervised-learning are comparing it to the libraries listed below

• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 8 years ago
• mehmetgonen / lmkkmeans
  Localized Multiple Kernel k-Means Clustering
  ☆27Updated 6 years ago
• zeakey / LDLForests
  Label Distribution Learning Forest
  ☆30Updated 8 years ago
• sclincha / xrce_msda_da_regularization
  Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
  ☆12Updated 8 years ago
• junliangma / gbssl
  Graph-Based Semi-Supervised Learning Algorithms
  ☆23Updated 9 years ago
• cravisjan97 / Deep-Clustering
  A Convolutional Neural Network based model for Unsupervised Learning
  ☆33Updated 8 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆75Updated 7 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• greentfrapp / doping
  Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
  ☆15Updated 7 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆17Updated 7 years ago
• algorithmdog / Representation-based-Multilabel-Learning
  Representation based multi label classification with many labels
  ☆41Updated 8 years ago
• siddheshk / Faster-Kmeans
  Code for a faster K-means clustering heuristic
  ☆122Updated 8 years ago
• duducheng / clustering_tutorial
  A Tutorial of KMeans(++), GMM and Spectral Clustering
  ☆25Updated 8 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 8 years ago
• quinngroup / deep-representations-clustering
  This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".
  ☆21Updated 8 years ago
• toantm / keras-bda
  A Bayesian Data Augmentation Approach for Learning Deep Models in Keras. Here is the link to a pytorch version: https://github.com/toant…
  ☆25Updated 8 years ago
• ramarlina / som
  Self-Organizing Map for unsupervised feature engineering and dimensionality reduction
  ☆21Updated 12 years ago
• wenli-vision / svmplus_matlab
  An implementation of SVM+
  ☆26Updated 9 years ago
• ej0cl6 / csmlc
  Cost-Sensitive Multi-Label Classification
  ☆19Updated 8 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 12 years ago
• gnaixgnaw / CSP
  Spectral Clustering for Complex Graphs
  ☆39Updated 11 years ago
• jindongwang / tf-dann
  Domain-Adversarial Neural Network in Tensorflow
  ☆37Updated 7 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• sumanyu / stacked-denoising-autoencoders
  sklearn wrappers for stacked denoising autoencoders
  ☆16Updated 9 years ago
• airanmehr / cssvm
  Cost-Sensitive Support Vector Machines
  ☆33Updated 9 years ago
• MOhammedJAbi / SoftKMeans
  Implementation of Deep Soft-K means
  ☆29Updated 4 years ago
• PAN001 / Deep-Neural-Network-Ensembles-for-Extreme-Classification
  Deep Neural Network Ensembles for Extreme Classification
  ☆41Updated 6 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 7 years ago
• rtavenar / LDPS
  Learning DTW-Preserving Shapelets
  ☆24Updated 2 years ago
• dmzou / RSRAE
  Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
  ☆37Updated 4 years ago