Alternatives and similar repositories for SMOTE

Users that are interested in SMOTE are comparing it to the libraries listed below

• Tony607 / Focal_Loss_Keras
  Multi-class classification with focal loss for imbalanced datasets
  ☆82Updated 6 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 8 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆80Updated 6 years ago
• zhangyaqi1989 / Ensemble-Methods-for-Image-Classification
  In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…
  ☆99Updated 7 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆39Updated last month
• dialnd / imbalanced-algorithms
  Python-based implementations of algorithms for learning on imbalanced data.
  ☆241Updated 3 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
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆47Updated 6 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• felix-last / kmeans_smote
  Oversampling for imbalanced learning based on k-means and SMOTE
  ☆128Updated 4 years ago
• Tony607 / Keras_Deep_Clustering
  How to do Unsupervised Clustering with Keras
  ☆241Updated 7 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆48Updated 7 years ago
• fferroni / DEC-Keras
  Deep Embedding Clustering in Keras
  ☆132Updated 8 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 6 years ago
• shibuiwilliam / Keras_Autoencoder
  Autoencoders using Keras
  ☆77Updated 8 years ago
• Tigeryang93 / cnn-with-xgboost
  This repository is codeabout cnn with xgboost
  ☆31Updated 7 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
• ikki407 / stacking
  Stacked Generalization (Ensemble Learning)
  ☆228Updated 7 years ago
• PAN001 / Deep-Neural-Network-Ensembles-for-Extreme-Classification
  Deep Neural Network Ensembles for Extreme Classification
  ☆41Updated 6 years ago
• zidik / Self-labeled-techniques-for-semi-supervised-learning
  ☆23Updated 7 years ago
• AlexGidiotis / Advanced-ML-techniques
  This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imb…
  ☆18Updated 7 years ago
• Choco31415 / Attention_Network_With_Keras
  An example attention network with simple dataset.
  ☆228Updated 6 years ago
• twairball / keras_lstm_vae
  Keras implementation of LSTM Variational Autoencoder
  ☆229Updated 6 years ago
• zhuxinqimac / B-CNN
  Sample code of B-CNN paper (https://arxiv.org/abs/1709.09890) written in Python3+.
  ☆56Updated 4 years ago
• ej0cl6 / csmlc
  Cost-Sensitive Multi-Label Classification
  ☆19Updated 8 years ago
• mumuyanyan / autoencoder_python
  autoencoder python
  ☆22Updated 9 years ago
• chenchiwei / tradaboost
  Transfer learning algorithm TrAdaboost,coded by python
  ☆125Updated 2 years ago
• lyeoni / keras-mnist-CVAE
  ☆16Updated 7 years ago
• nejlag / Semi-Supervised-Learning-GAN
  Semi-supervised Learning GAN
  ☆81Updated 8 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 9 years ago