Alternatives and similar repositories for infoselect

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

• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆105Updated 2 years ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆36Updated last year
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆29Updated 5 years ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆23Updated 2 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆47Updated 3 years ago
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆74Updated 4 years ago
• udellgroup / controlburn
  ☆18Updated 2 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• patrick-kidger / generalised_shapelets
  Code for "Generalised Interpretable Shapelets for Irregular Time Series"
  ☆57Updated 2 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 4 years ago
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated 2 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆189Updated 4 years ago
• sanatonek / time_series_explainability
  ☆62Updated 4 years ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆75Updated 2 years ago
• tfmortie / uaml
  Uncertainty-aware classification.
  ☆17Updated 3 years ago
• syanga / pycit
  (Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information es…
  ☆31Updated 5 years ago
• emanuel-metzenthin / Lime-For-Time
  Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
  ☆98Updated last year
• georgehc / dksa
  Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals
  ☆13Updated 4 years ago
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆49Updated 5 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆77Updated last year
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆33Updated 2 years ago
• singh-ml / fsnet
  ☆17Updated 5 years ago
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆19Updated 9 months ago
• HelmholtzAI-Consultants-Munich / PySDDR
  A python package for semi-structured deep distributional regression
  ☆23Updated 3 years ago
• team-daniel / MC-CP
  All the material needed to use MC-CP and the Adaptive MC Dropout method
  ☆27Updated 8 months ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆150Updated 3 years ago
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆109Updated 3 years ago
• hsouri / BayesianTransferLearning
  ☆111Updated 3 years ago
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago
• chl8856 / SEFS
  Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
  ☆24Updated 2 years ago