Alternatives and similar repositories for hazardous:

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

• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆72Updated this week
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆165Updated 2 months ago
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆32Updated last year
• pymc-devs / pymc-bart
  ☆100Updated this week
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆25Updated 2 weeks ago
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated last month
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆49Updated 2 months ago
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆69Updated 11 months ago
• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆97Updated last month
• probabl-ai / skore
  the scikit-learn sidekick
  ☆156Updated this week
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆28Updated last month
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆57Updated 3 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆59Updated this week
• probabl-ai / sklearn-ragger-duck
  A proof-of-concept for a RAG to query the scikit-learn documentation
  ☆26Updated 3 weeks ago
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆97Updated last week
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆120Updated this week
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆49Updated this week
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated 11 months ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆95Updated last week
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆79Updated 3 weeks ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆56Updated 7 months ago
• Gattocrucco / bartz
  Super-fast BART (Bayesian Additive Regression Trees) in Python
  ☆51Updated 2 months ago
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 2 months ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆67Updated 2 years ago
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆22Updated last month
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆123Updated last year
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆311Updated last week
• 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
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆35Updated last month
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆22Updated last week