Karim-53 / pdll

Related projects: ⓘ

• kiudee / pareto-embeddings
  Advanced choice modeling with multidimensional utility representations.
  ☆12Updated 3 months ago
• ValentinMargraf / ActiveLearningPipelines
  Specificy, execute and monitor performances of active learning pipelines.
  ☆19Updated this week
• mmschlk / shapiq
  Shapley Interactions for Machine Learning
  ☆70Updated last week
• tornede / py_experimenter
  The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results …
  ☆31Updated 3 months ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆49Updated 11 months ago
• sherbold / autorank
  ☆68Updated 2 weeks ago
• aai-institute / pyDVL
  pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
  ☆98Updated this week
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆17Updated 11 months ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• scikit-activeml / scikit-activeml
  scikit-activeml: Python library for active learning on top of scikit-learn
  ☆147Updated this week
• automl / ifBO
  In-context Bayesian Optimization
  ☆10Updated this week
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆42Updated last month
• janezd / baycomp
  ☆68Updated 4 months ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆86Updated last year
• aida-ugent / fairret
  A fairness library in PyTorch.
  ☆26Updated last month
• deel-ai / influenciae
  👋 Influenciae is a Tensorflow Toolbox for Influence Functions
  ☆55Updated 5 months ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆69Updated 2 weeks ago
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆52Updated this week
• atschalz / dc_tabeval
  A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
  ☆11Updated 3 weeks ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆22Updated 6 months ago
• HelmholtzAI-Consultants-Munich / PySDDR
  A python package for semi-structured deep distributional regression
  ☆20Updated last year
• deel-ai / deel-lip
  Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
  ☆86Updated last week
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆26Updated last month
• alfaro96 / scikit-lr
  Machine Learning package for Label Ranking problems in Python.
  ☆15Updated 2 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆75Updated last year
• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆59Updated last week
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆46Updated this week
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆38Updated last year
• releaunifreiburg / DeepRankingEnsembles
  [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
  ☆13Updated 5 months ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆21Updated last month