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 5 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
• 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…
  ☆97Updated 6 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…
  ☆74Updated 5 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 7 years ago
• ej0cl6 / csmlc
  Cost-Sensitive Multi-Label Classification
  ☆19Updated 7 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆46Updated 6 years ago
• zhuxinqimac / B-CNN
  Sample code of B-CNN paper (https://arxiv.org/abs/1709.09890) written in Python3+.
  ☆55Updated 3 years ago
• mumuyanyan / autoencoder_python
  autoencoder python
  ☆22Updated 9 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆78Updated 5 years ago
• tgsmith61591 / smrt
  Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
  ☆126Updated 5 years ago
• hosseinshn / Basic-Multi-task-Learning
  This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
  ☆136Updated 6 years ago
• Tigeryang93 / cnn-with-xgboost
  This repository is codeabout cnn with xgboost
  ☆31Updated 7 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆39Updated 6 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 7 years ago
• snowkylin / gnn
  TensorFlow implementation of several popular Graph Neural Network layers, wrapped with tf.keras.layers.Layer.
  ☆20Updated 5 years ago
• felix-last / kmeans_smote
  Oversampling for imbalanced learning based on k-means and SMOTE
  ☆127Updated 4 years ago
• Li-Ming-Fan / text_classification
  Text classification models: cnn, self-attention, cnn-rnf, rnn-att, capsule-net. TensorFlow. Single GPU or multi GPU
  ☆19Updated 5 years ago
• zidik / Self-labeled-techniques-for-semi-supervised-learning
  ☆23Updated 7 years ago
• mmxmb / keras_ensemblng
  Ensembling ConvNets using Keras
  ☆75Updated 6 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆26Updated 8 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• shibuiwilliam / Keras_Autoencoder
  Autoencoders using Keras
  ☆77Updated 7 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 6 years ago
• algorithmdog / Representation-based-Multilabel-Learning
  Representation based multi label classification with many labels
  ☆40Updated 8 years ago
• danielgy / Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning
  ☆185Updated 7 years ago
• jimcaine / smoteboost
  Explored synthetic minority oversampling procedure (SMOTE) and AdaBoost for image classification.
  ☆16Updated 9 years ago
• Choco31415 / Attention_Network_With_Keras
  An example attention network with simple dataset.
  ☆229Updated 6 years ago
• prernakhurana2 / Hierarchical-attention-network
  My implementation of "Hierarchical Attention Networks for Document Classification" in Keras
  ☆26Updated 7 years ago