soda-inria / hazardousLinks
Competing Risks and Survival Analysis
☆102Updated last month
Alternatives and similar repositories for hazardous
Users that are interested in hazardous are comparing it to the libraries listed below
Sorting:
- Fast and modular sklearn replacement for generalized linear models☆173Updated last week
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆80Updated last week
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆97Updated last week
- Exploratory repository to study predictive survival analysis models☆34Updated 2 years ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆271Updated this week
- ☆118Updated this week
- Repository for the explanation method Calibrated Explanations (CE)☆67Updated last month
- Python implementation of binary and multi-class Venn-ABERS calibration☆165Updated 9 months ago
- High performance Python GLMs with all the features!☆346Updated 3 weeks ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 2 years ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆28Updated 2 weeks ago
- Repository for CARTE: Context-Aware Representation of Table Entries☆128Updated 2 months ago
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆71Updated last year
- Rethinking machine learning pipelines☆31Updated 7 months ago
- A proof-of-concept for a RAG to query the scikit-learn documentation☆26Updated 2 months ago
- Editing machine learning models to reflect human knowledge and values☆126Updated last year
- A multiverse of Prophet models for timeseries☆52Updated this week
- bayes-toolbox☆92Updated this week
- A Causal AI package for causal graphs.☆60Updated 2 months ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆111Updated last month
- DataFrame support for scikit-learn.☆63Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆74Updated last year
- Helping you manage your data science projects sanely.☆49Updated last week
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- Quantile Regression Forests compatible with scikit-learn.☆232Updated this week
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- AutoML for causal inference.☆223Updated 6 months ago
- Powerful add-ons for PyMC☆105Updated last week
- Effector - a Python package for global and regional effect methods☆110Updated last week
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆56Updated this week