Alternatives and similar repositories for Class-Imbalance:

Users that are interested in Class-Imbalance are comparing it to the libraries listed below

• farshidrayhancv / CUSBoost
  ☆22Updated 5 years ago
• titu1994 / LSTM-FCN-Ablation
  Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"
  ☆54Updated 5 years ago
• sclincha / xrce_msda_da_regularization
  Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
  ☆12Updated 7 years ago
• iamyuanchung / csdnn
  Theano implementation of Cost-Sensitive Deep Neural Networks
  ☆26Updated 6 years ago
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆44Updated 5 years ago
• kaushalshetty / SMOTE
  Synthetic Minority Over-sampling Technique
  ☆38Updated 7 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆56Updated 6 years ago
• ksalsw1996 / pytorch_DAE
  pytorch implementation of stacked denoising autoencoder
  ☆20Updated 7 years ago
• felix-last / kmeans_smote
  Oversampling for imbalanced learning based on k-means and SMOTE
  ☆124Updated 3 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 5 years ago
• sumanth-bmsce / Deep-Neural-Network-for-Clustering
  Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…
  ☆13Updated 6 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 4 years ago
• Isilendil / OSTL
  Online Semi-supervised Learning + Online Heterogeneous Transfer Learning
  ☆28Updated 9 years ago
• Nidhi08 / GANs-for-imbalanced-data-generation
  ☆17Updated 6 years ago
• Albertsr / Class-Imbalance
  Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
  ☆106Updated 4 years ago
• SophiaWJ / Transfer-learning
  Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction
  ☆11Updated 6 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆76Updated 5 years ago
• jindongwang / tf-dann
  Domain-Adversarial Neural Network in Tensorflow
  ☆37Updated 6 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• SonbolYb / multivariate_timeseries_dilated_conv
  Multivariate Time Series Classification using Dilated Convolutional Neural Network
  ☆11Updated 5 years ago
• jeanjerome / semisupervised_timeseries_infogan
  A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…
  ☆29Updated 6 years ago
• haitaozhao / Neural-Component-Analysis
  This repository is mainly to show the source code of neural component analysis.
  ☆22Updated 6 years ago
• KurochkinAlexey / Self-boosted-Time-series-Forecasting
  Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181…
  ☆31Updated 5 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆26Updated 8 years ago
• koshian2 / Pseudo-Label-Keras
  Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras
  ☆37Updated 6 years ago
• uchihashikenshi / attention_time
  Python implementation of a time-series model with (optional) attention where the encoder is CNN, decoder is LSTM, and more.
  ☆22Updated 8 years ago
• P1Analytics / Pseudo-Label-for-Deep-Neural-Networks
  Semi-Supervised Learning Method for Deep Neural Networks
  ☆28Updated 7 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 6 years ago
• mmcdermott / CWR-GAN
  The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.
  ☆23Updated 6 years ago
• tlatkowski / tf-feature-selection
  Implementation of various feature selection methods using TensorFlow library.
  ☆9Updated 2 years ago