Alternatives and similar repositories for Self-labeled-techniques-for-semi-supervised-learning:

Users that are interested in Self-labeled-techniques-for-semi-supervised-learning are comparing it to the libraries listed below

• airanmehr / cssvm
  Cost-Sensitive Support Vector Machines
  ☆33Updated 8 years ago
• ej0cl6 / csmlc
  Cost-Sensitive Multi-Label Classification
  ☆19Updated 7 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆49Updated 6 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• PAN001 / Deep-Neural-Network-Ensembles-for-Extreme-Classification
  Deep Neural Network Ensembles for Extreme Classification
  ☆41Updated 6 years ago
• frkl / active-learning
  Active learning for deep learning
  ☆19Updated 6 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆16Updated 6 years ago
• sclincha / xrce_msda_da_regularization
  Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
  ☆12Updated 7 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 4 years ago
• eyounx / ASG
  Open category classification by adversarial sample generation
  ☆20Updated 4 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆38Updated 6 years ago
• markheimann / mSDA
  Implementation and usage of marginalized stacked denoising autoencoders (mSDA)
  ☆23Updated 8 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 6 years ago
• chihkuanyeh / C2AE
  The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017
  ☆28Updated 7 years ago
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆123Updated 5 years ago
• FJR-Nancy / joint-cluster-cnn
  A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).
  ☆25Updated 6 years ago
• fahadm / Bayesian-Active-Learning-Pytorch
  Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…
  ☆31Updated 3 years ago
• anargyri / lstm_han
  LSTM and Hierarchical Attention Network on DSVM
  ☆41Updated 7 years ago
• junliangma / gbssl
  Graph-Based Semi-Supervised Learning Algorithms
  ☆23Updated 8 years ago
• mlberkeley / Meta-Learning-Worskhop
  ☆16Updated 7 years ago
• XifengGuo / DEC-DA
  Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
  ☆55Updated 6 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆34Updated 7 years ago
• davefernig / alp
  active learning in python
  ☆35Updated 8 years ago
• vatsalsharan / pidforest
  Code for the PIDForest algorithm for anomaly detection
  ☆28Updated 5 years ago
• nlhepler / mrmr
  minimum Redundancy Maximum Relevance
  ☆21Updated 12 years ago
• phdowling / mSDA
  Python implementation of (linear) Marginalized Stacked Denoising Autoencoder (mSDA), as well as dense Cohort of Terms (dCoT). Based on Ma…
  ☆27Updated 4 years ago
• harusametime / RUSBoost
  Classifier of imbalanced data by boosting with random under sampling
  ☆28Updated 6 years ago
• algorithmdog / Representation-based-Multilabel-Learning
  Representation based multi label classification with many labels
  ☆40Updated 8 years ago
• raghavchalapathy / rcae
  contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection
  ☆35Updated 7 years ago
• haozhenWu / Calibrated-Boosting-Forest
  Original implementation of Calibrated Boosting-Forest
  ☆18Updated 7 years ago