Alternatives and similar repositories for pyHSICLasso

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

• srome / pykliep
  A density ratio estimator package for python using the KLIEP algorithm.
  ☆107Updated 4 years ago
• hoxo-m / densratio_py
  A Python Package for Density Ratio Estimation
  ☆130Updated last year
• fbrundu / pymrmr
  Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
  ☆140Updated 5 months ago
• jjfeng / spinn
  Sparse-input neural networks
  ☆23Updated 2 years ago
• alimirzaei / TSFS
  Deep Feature Selection using Teacher Student Network
  ☆43Updated 5 years ago
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆286Updated 3 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆196Updated 2 years ago
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆107Updated 3 years ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆132Updated last year
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆106Updated 11 months ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year
• amber0309 / HSIC
  Python code of Hilbert-Schmidt Independence Criterion
  ☆87Updated 2 years ago
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆226Updated 10 months ago
• mfbalin / Concrete-Autoencoders
  ☆118Updated 2 years ago
• wt-hu / pyCausalFS
  pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
  ☆69Updated 4 years ago
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆98Updated last year
• abidlabs / contrastive
  Contrastive PCA
  ☆213Updated 6 months ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆46Updated 2 years ago
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 5 years ago
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆121Updated 5 years ago
• irashavitt / regularization_learning_networks
  Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440
  ☆35Updated 6 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
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆94Updated 3 weeks ago
• msmbuilder / vde
  Variational Autoencoder for Dimensionality Reduction of Time-Series
  ☆187Updated 3 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆52Updated 4 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆100Updated 3 years ago
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆138Updated 2 years ago
• meeliskull / prg
  Software to create Precision-Recall-Gain curves and calculate area under the curve
  ☆40Updated 2 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆244Updated last year