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

• fferroni / DEC-Keras
  Deep Embedding Clustering in Keras
  ☆132Updated 8 years ago
• PAN001 / Deep-Neural-Network-Ensembles-for-Extreme-Classification
  Deep Neural Network Ensembles for Extreme Classification
  ☆41Updated 6 years ago
• XifengGuo / DEC-DA
  Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
  ☆57Updated 6 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆48Updated 7 years ago
• airanmehr / cssvm
  Cost-Sensitive Support Vector Machines
  ☆33Updated 9 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 6 years ago
• junliangma / gbssl
  Graph-Based Semi-Supervised Learning Algorithms
  ☆23Updated 9 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 8 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆205Updated 5 years ago
• ej0cl6 / csmlc
  Cost-Sensitive Multi-Label Classification
  ☆19Updated 8 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆76Updated 11 years ago
• jjrob13 / sklearn_cotraining
  An implementation of the Co-Training semi-supervised learning technique from (Blue, Mitchell 1998) that is meant to work well with scikit…
  ☆75Updated 6 years ago
• tgsmith61591 / smrt
  Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
  ☆126Updated 6 years ago
• FJR-Nancy / joint-cluster-cnn
  A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).
  ☆26Updated 7 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆75Updated 7 years ago
• dialnd / imbalanced-algorithms
  Python-based implementations of algorithms for learning on imbalanced data.
  ☆241Updated 3 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 8 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 4 years ago
• alimirzaei / TSFS
  Deep Feature Selection using Teacher Student Network
  ☆44Updated 6 years ago
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆125Updated 5 years ago
• mehmetgonen / bssml
  Bayesian (Semi-)Supervised Multilabel Learning
  ☆10Updated 7 years ago
• ElieAljalbout / Clustering-with-Deep-learning
  Generic implementation for clustering with deep learning : representation learning (DNN) + clustering
  ☆295Updated 7 years ago
• eyounx / ASG
  Open category classification by adversarial sample generation
  ☆21Updated 5 years ago
• nlml / tsne_raw
  Implementation of Symmetric SNE and t-SNE in numpy and python
  ☆75Updated 4 years ago
• benoitdescamps / Neural-Tree
  Tensorflow implementation of a Tree
  ☆35Updated 6 years ago
• Tony607 / Focal_Loss_Keras
  Multi-class classification with focal loss for imbalanced datasets
  ☆82Updated 6 years ago
• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆81Updated 3 years ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 3 years ago