Alternatives and similar repositories for Concrete-Autoencoders

Users that are interested in Concrete-Autoencoders are comparing it to the libraries listed below

• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆108Updated 3 years ago
• rymc / n2d
  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …
  ☆138Updated last year
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆103Updated 4 years ago
• IvanoLauriola / MKLpy
  A package for Multiple Kernel Learning in Python
  ☆132Updated 2 years ago
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 6 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆187Updated 3 years ago
• alimirzaei / TSFS
  Deep Feature Selection using Teacher Student Network
  ☆43Updated 6 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆92Updated 6 years ago
• amber0309 / HSIC
  Python code of Hilbert-Schmidt Independence Criterion
  ☆88Updated 3 years ago
• mtsang / neural-interaction-detection
  Detecting Statistical Interactions from Neural Network Weights
  ☆49Updated 5 years ago
• Harry24k / MIDA-pytorch
  PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"
  ☆28Updated 6 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆41Updated last year
• 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
• boyangumn / DCN-New
  Updated version of DCN
  ☆88Updated 3 years ago
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆69Updated 6 years ago
• probabilistic-learning / HI-VAE
  ☆91Updated 2 years ago
• mvlearn / mvlearn
  Python package for multi-view machine learning
  ☆213Updated last year
• maksym33 / FeatureImportanceDL
  ☆42Updated 2 years ago
• rupy / GCCA
  Generalized Canonical Correlation Analysis
  ☆51Updated 8 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆40Updated 2 years ago
• MaziarMF / deep-k-means
  ☆97Updated 6 years ago
• sudiptodip15 / ClusterGAN
  Latent space clustering in Generative Adversarial Network (GAN)
  ☆107Updated 3 years ago
• chl8856 / AC_TPC
  AC_TPC: Temporal Phenotyping using Deep Predicting Clustering of Disease Progression
  ☆46Updated 4 years ago
• ChongYou / subspace-clustering
  Toolbox for large scale subspace clustering
  ☆178Updated 3 years ago
• younglululu / DeepPINK
  DeepPINK: reproducible feature selection in deep neural networks
  ☆22Updated last year
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆83Updated 6 years ago
• ProcessMonitoringStellenboschUniversity / IFAC-VAE-Imputation
  Demonstration code for missing data imputation using Variational Autoencoders (VAE)
  ☆23Updated 6 years ago
• IsolationKernel / Codes
  ☆51Updated 9 months ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆63Updated 5 years ago