Alternatives and similar repositories for pyHSICLasso

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

• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆230Updated last year
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆137Updated last year
• IvanoLauriola / MKLpy
  A package for Multiple Kernel Learning in Python
  ☆132Updated 2 years ago
• mfbalin / Concrete-Autoencoders
  ☆119Updated 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
• fbrundu / pymrmr
  Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
  ☆141Updated 9 months ago
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆100Updated last year
• alimirzaei / TSFS
  Deep Feature Selection using Teacher Student Network
  ☆43Updated 6 years ago
• srome / pykliep
  A density ratio estimator package for python using the KLIEP algorithm.
  ☆109Updated 5 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆46Updated 3 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆197Updated 2 years ago
• lasso-net / lassonet
  Feature selection in neural networks
  ☆242Updated last year
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆286Updated 4 years ago
• hoxo-m / densratio_py
  Python Package for Density Ratio Estimation
  ☆131Updated 2 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• minhnguyen-cs / mtsne
  Multivariate time-series t-Distributed Stochastic Neighbor Embedding
  ☆40Updated 8 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆246Updated last year
• dganguli / robust-pca
  A simple Python implementation of R-PCA
  ☆247Updated 2 years ago
• danilkolikov / fsfc
  Feature Selection for Clustering
  ☆96Updated 7 years ago
• amber0309 / HSIC
  Python code of Hilbert-Schmidt Independence Criterion
  ☆88Updated 3 years ago
• unnir / CancelOut
  CancelOut is a special layer for deep neural networks that can help identify a subset of relevant input features for streaming or static …
  ☆26Updated 4 years ago
• mvlearn / mvlearn
  Python package for multi-view machine learning
  ☆213Updated last year
• irashavitt / regularization_learning_networks
  Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440
  ☆35Updated 7 years ago
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆99Updated 4 months ago
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆188Updated 6 years ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆196Updated 2 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• singh-ml / fsnet
  ☆17Updated 5 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago