Alternatives and similar repositories for NeuralSens:

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

• SelfExplainML / GamiNet
  GAMI-Net: Generalized Additive Models with Structured Interactions
  ☆31Updated 2 years ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆26Updated 2 years ago
• jolars / SLOPE
  Sorted L1 Penalized Estimation
  ☆18Updated 2 weeks ago
• ZhaozhiQIAN / D-CODE-ICLR-2022
  D-CODE: Discovering Closed-form ODEs from Observed Trajectories
  ☆15Updated 3 years ago
• multi-objective / moocore
  Core Mathematical Functions for Multi-Objective Optimization
  ☆13Updated this week
• rizbicki / predictionBands
  R package to compute distribution-free prediction bands using density estimators
  ☆9Updated 3 years ago
• trnnick / mapa
  MAPA package for R
  ☆15Updated last year
• isidroc / conformal
  Conformal prediction in R
  ☆31Updated 5 years ago
• config-i1 / greybox
  Regression model building and forecasting in R
  ☆31Updated 3 weeks ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 2 years ago
• EtashGuha / R2CCP
  ☆22Updated last year
• Leo-Simpson / c-lasso
  c-lasso: a Python package for constrained sparse regression and classification
  ☆32Updated 4 years ago
• AlexanderHenzi / isodistrreg
  Isotonic Distributional Regression (IDR)
  ☆16Updated last year
• Mamba413 / Ball
  Statistical Inference and Sure Independence Screening via Ball Statistics
  ☆32Updated 5 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• mlampros / KernelKnn
  Kernel k Nearest Neighbors in R
  ☆17Updated 2 years ago
• paobranco / Pre-processingApproachesImbalanceRegression
  Pre-processing Approaches for Imbalanced Distributions in Regression
  ☆11Updated 4 years ago
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆21Updated 3 years ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆28Updated 2 years ago
• franciscomartinezdelrio / tsfknn
  Time Series Forecasting Using KNN
  ☆11Updated last year
• ampl / rAMPL
  R API for AMPL
  ☆15Updated 2 months ago
• gerdm / BONE
  Repository for the paper "BONE: a unifying framework for Bayesian online learning in non-stationary environments"
  ☆17Updated 4 months ago
• junyzhou10 / MetaLearners
  The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple trea…
  ☆11Updated 2 years ago
• mthorrell / gbnet
  Gradient Boosting Modules for pytorch
  ☆25Updated 2 weeks ago
• kisungyou / Riemann
  Learning with Data on Riemannian Manifolds
  ☆10Updated 2 years ago
• ArdiaD / DEoptim
  Differential evolution in R
  ☆29Updated 2 years ago
• david-cortes / approxcdf
  (Python, R, C) Fast approximations for the CDF of multivariate normal distributions
  ☆22Updated 4 months ago
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 3 years ago
• mbinois / GPareto
  GPareto cran package
  ☆16Updated last year