Alternatives and similar repositories for MethodComparisonsInPython

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

• hfawaz / cd-diagram
  Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
  ☆284Updated 2 years ago
• mfbalin / Concrete-Autoencoders
  ☆118Updated 3 years ago
• IvanoLauriola / MKLpy
  A package for Multiple Kernel Learning in Python
  ☆129Updated 2 years ago
• liuyilin950623 / SHAP_on_Autoencoder
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆33Updated 5 years ago
• mvlearn / mvlearn
  Python package for multi-view machine learning
  ☆210Updated last year
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆185Updated 3 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆47Updated 2 years ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆148Updated 4 years ago
• lasso-net / lassonet
  Feature selection in neural networks
  ☆238Updated 9 months ago
• adapt-python / adapt
  Awesome Domain Adaptation Python Toolbox
  ☆342Updated 8 months ago
• maksym33 / FeatureImportanceDL
  ☆42Updated 2 years ago
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆286Updated 3 years ago
• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆165Updated last year
• rymc / n2d
  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …
  ☆135Updated last year
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆76Updated 3 years ago
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆108Updated 3 years ago
• peaclab / CoMTE
  Counterfactual Explanations for Multivariate Time Series Data
  ☆33Updated last year
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 6 years ago
• sbuschjaeger / PyPruning
  Python code to prune ensembles
  ☆13Updated 3 years ago
• danielgy / Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning
  ☆185Updated 7 years ago
• FlorentF9 / DeepTemporalClustering
  Keras implementation of the Deep Temporal Clustering (DTC) model
  ☆230Updated 3 years ago
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆31Updated 8 years ago
• damianhorna / multi-imbalance
  Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
  ☆78Updated last year
• daochenzha / SimTSC
  [SDM 2022] Towards Similarity-Aware Time-Series Classification
  ☆80Updated last year
• XAIseries / XCM
  XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification
  ☆49Updated 2 years ago
• NoRaincheck / scikit-feature
  ☆33Updated 5 months ago
• tegjyotsingh / ConceptDriftInduction
  Datasets for concept drift detection
  ☆28Updated 8 years ago
• hturbe / InterpretTime
  Implementation of the InterpretTime framework
  ☆47Updated 2 years ago
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆370Updated 2 years ago
• georgedouzas / imbalanced-learn-extra
  Implementation of novel oversampling algorithms.
  ☆34Updated 5 months ago