Alternatives and similar repositories for scikit-lr:

Users that are interested in scikit-lr are comparing it to the libraries listed below

• kiudee / pareto-embeddings
  Advanced choice modeling with multidimensional utility representations.
  ☆12Updated 8 months ago
• sherbold / autorank
  ☆74Updated 4 months ago
• steven7woo / fair_regression_reduction
  General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.
  ☆15Updated 4 years ago
• Jonathan-Pearce / calibration_library
  Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!
  ☆70Updated this week
• julilien / LabelRelaxation
  Supplementary material and code for "From Label Smoothing to Label Relaxation" as published at AAAI 2021.
  ☆14Updated last year
• gabrieljaguiar / nemenyi
  Post-hoc Nemenyi test for algorithm statistical comparison.
  ☆21Updated 4 years ago
• janezd / baycomp
  ☆72Updated 10 months ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆42Updated 6 months ago
• p-lambda / verified_calibration
  Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…
  ☆144Updated 2 years ago
• fel-thomas / Sobol-Attribution-Method
  👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)
  ☆27Updated 2 years ago
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆193Updated this week
• iancovert / fastshap
  An amortized approach for calculating local Shapley value explanations
  ☆95Updated last year
• gabrieljaguiar / image-meta-feature-extractor
  An image meta-feature extractor for meta-learning tasks.
  ☆12Updated last year
• lpfgarcia / ECoL
  Extended Complexity Library in R
  ☆57Updated 4 years ago
• hollance / reliability-diagrams
  Reliability diagrams visualize whether a classifier model needs calibration
  ☆145Updated 3 years ago
• csinva / hierarchical-dnn-interpretations
  Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
  ☆128Updated 3 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆264Updated last week
• Piyushi-0 / ACE
  Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.
  ☆51Updated 3 years ago
• jcpeterson / cifar-10h
  Original dataset release for CIFAR-10H
  ☆82Updated 4 years ago
• ValentinMargraf / ActiveLearningPipelines
  Specificy, execute and monitor performances of active learning pipelines.
  ☆22Updated 4 months ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆86Updated 2 years ago
• laura-rieger / deep-explanation-penalization
  Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…
  ☆127Updated 3 years ago
• BlackHC / batchbald_redux
  Reusable BatchBALD implementation
  ☆77Updated 11 months ago
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆62Updated 11 months ago
• machinelearningnuremberg / DeepPipe
  [KDD 2023] Deep Pipeline Embeddings for AutoML
  ☆15Updated 3 months ago
• deel-ai / deel-lip
  Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
  ☆91Updated last week
• JonathanWenger / pycalib
  Non-Parametric Calibration for Classification (AISTATS 2020)
  ☆19Updated 3 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• riccotti / ABELE
  Adversarial Black box Explainer generating Latent Exemplars
  ☆11Updated 2 years ago
• deel-ai-papers / conformal-segmentation
  Conformal prediction for uncertainty quantification in image segmentation
  ☆20Updated 2 months ago