Alternatives and similar repositories for hazardous:

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

• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆33Updated last year
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆168Updated 4 months ago
• pymc-devs / pymc-bart
  ☆105Updated this week
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆112Updated last week
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆124Updated last year
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆75Updated this week
• probabl-ai / sklearn-ragger-duck
  A proof-of-concept for a RAG to query the scikit-learn documentation
  ☆26Updated 2 weeks ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆100Updated 2 years ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆64Updated 2 weeks ago
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆26Updated this week
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆52Updated this week
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆260Updated this week
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆147Updated 6 months ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆67Updated 2 years ago
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated 9 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆28Updated 3 months ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆45Updated 8 months ago
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated 3 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆80Updated 3 months ago
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆120Updated this week
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆37Updated 2 months ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆98Updated 2 weeks ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆55Updated 2 months ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆34Updated 2 weeks ago
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆89Updated 6 months ago
• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆109Updated last month
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆104Updated last week