Alternatives and similar repositories for Composite-Feature-Selection:

Users that are interested in Composite-Feature-Selection are comparing it to the libraries listed below

• chl8856 / SEFS
  Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
  ☆23Updated last year
• andreimargeloiu / WPFS
  Weight Predictor Networks with Sparse Feature Selection for Small Size Tabular Biomedical Data. Published at AAAI 2023
  ☆17Updated last year
• LARS-research / TabGNN
  ☆49Updated 3 years ago
• tobias-freidling / hsic-lasso-psi
  Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure
  ☆10Updated 3 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆96Updated 3 years ago
• BingzhaoZhu / XTab
  ☆33Updated 2 years ago
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆39Updated last year
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆76Updated last year
• JonathanCrabbe / Simplex
  This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …
  ☆24Updated 2 years ago
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆69Updated last year
• facebookresearch / infoshap
  Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatso…
  ☆20Updated 8 months ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆102Updated 2 years ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆144Updated 2 years ago
• sajaddarabi / ContrastiveMixup
  ☆19Updated last year
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆107Updated 3 years ago
• lauramanduchi / DC-GMM
  This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".
  ☆33Updated 3 years ago
• jaehyun513 / STUNT
  Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…
  ☆54Updated last year
• vanderschaarlab / MIRACLE
  ☆25Updated 10 months ago
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆26Updated 2 years ago
• MarkPKCollier / MissingDataVAEs
  ☆19Updated 4 years ago
• maksym33 / FeatureImportanceDL
  ☆41Updated last year
• pfnet-research / TabCSDI
  A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"
  ☆47Updated 9 months ago
• diningphil / graph-mixture-density-networks
  Official Repository of "Graph Mixture Density Networks" (ICML 2021)
  ☆26Updated 2 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆60Updated 4 years ago
• zahraatashgahi / QuickSelection
  [Machine Learning Journal (ECML-PKDD 2022 journal track)] Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Tra…
  ☆16Updated last year
• lemeln / nam
  Neural Additive Models (Google Research)
  ☆26Updated 10 months ago
• Pacmed / ehr_ood_detection
  Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.
  ☆21Updated 3 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆34Updated 4 years ago
• singh-ml / fsnet
  ☆14Updated 4 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago