Alternatives and similar repositories for SEFS

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

• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆23Updated 2 years ago
• jaehyun513 / STUNT
  Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…
  ☆59Updated 2 years ago
• JonathanCrabbe / Simplex
  This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …
  ☆25Updated 2 years ago
• andreimargeloiu / WPFS
  Weight Predictor Networks with Sparse Feature Selection for Small Size Tabular Biomedical Data. Published at AAAI 2023
  ☆19Updated 2 years ago
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆41Updated 2 years ago
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆30Updated 3 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆56Updated last year
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆58Updated 2 months ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆104Updated 4 years ago
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆109Updated 3 years ago
• trevor-richardson / MCFlow
  Monte Carlo Flow Models for Data Imputation
  ☆19Updated 5 years ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆26Updated 3 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆64Updated 5 years ago
• gemoran / sparse-vae-code
  ☆31Updated 3 years ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆77Updated 3 years ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆150Updated 3 years ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆88Updated 2 years ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 4 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• 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…
  ☆75Updated 3 years ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆201Updated 3 weeks ago
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated 5 months ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆49Updated 6 years ago
• sanatonek / time_series_explainability
  ☆62Updated 4 years ago
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆71Updated 6 years ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆151Updated 5 years ago
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆73Updated 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"
  ☆56Updated last year
• facebookresearch / infoshap
  Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatso…
  ☆21Updated last year
• pietrobarbiero / entropy-lens
  ☆18Updated 2 years ago