Alternatives and similar repositories for fuzzy-rough-learn

Users that are interested in fuzzy-rough-learn are comparing it to the libraries listed below

• danilkolikov / fsfc
  Feature Selection for Clustering
  ☆97Updated 7 years ago
• alimirzaei / TSFS
  Deep Feature Selection using Teacher Student Network
  ☆44Updated 6 years ago
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆27Updated 5 years ago
• passalis / sef
  A Python Library for Similarity-based Dimensionality Reduction
  ☆29Updated 7 years ago
• zdy93 / FTL-Trans
  Time-Aware Transformer-based Network for Clinical Notes Series Prediction
  ☆24Updated 2 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆189Updated 4 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• paudan / scikit-roughsets
  Implementation of rough sets based reduction algorithm for Python
  ☆58Updated 3 years ago
• ciortanmadalina / high_noise_clustering
  Techniques to cluster very noisy data (dropouts or random noise)
  ☆66Updated 6 years ago
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆48Updated 5 years ago
• Treers / MetaCost
  P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around…
  ☆39Updated 6 years ago
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆27Updated 8 years ago
• peace195 / multitask-learning-protein-prediction
  Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction
  ☆24Updated 7 years ago
• ComputationalMedicineLab / patient2vec
  Embedding Complexity In the Data Representation Instead of In the Model (arXiv:1802.04233)
  ☆24Updated 7 years ago
• renatoosousa / GeneticAlgorithmForFeatureSelection
  Search the best feature subset for you classification mode
  ☆113Updated 5 years ago
• gevaertlab / DAPL
  Autoencoder network for imputing missing values
  ☆27Updated 6 years ago
• iancovert / dl-selection
  Feature selection for deep learning models.
  ☆14Updated 5 years ago
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆72Updated 4 years ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 6 years ago
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆190Updated 6 years ago
• NaegleLab / OpenEnsembles
  Code for ensemble clustering
  ☆103Updated 9 months ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆198Updated 2 years ago
• fbrundu / pymrmr
  Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
  ☆141Updated last year
• yandex-research / GBDT-uncertainty
  ☆59Updated last year
• ZixiaoShen / Correlation-based-Feature-Selection
  Implementation and test of CFS
  ☆28Updated 6 years ago
• EvgeniDubov / hellinger-distance-criterion
  Random Forest model using Hellinger Distance as split criterion
  ☆33Updated 2 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆77Updated 6 years ago
• igfox / multi-output-glucose-forecasting
  The code used for the paper Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories published in KDD 201…
  ☆53Updated 4 years ago
• abhinavralhan / kohonen-maps
  Implementation of SOM and GSOM
  ☆73Updated 2 weeks ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆64Updated 8 years ago