saattrupdan / doubtLinks
Bringing back uncertainty to machine learning.
☆53Updated last year
Alternatives and similar repositories for doubt
Users that are interested in doubt are comparing it to the libraries listed below
Sorting:
- An extension of CatBoost to probabilistic modelling☆145Updated last year
- Quantile Regression Forests compatible with scikit-learn.☆234Updated this week
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆61Updated 11 months 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
- Bayesian time series forecasting and decision analysis☆116Updated 2 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago
- Random Forest or XGBoost? It is Time to Explore LCE☆67Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆224Updated 2 years ago
- Exploratory repository to study predictive survival analysis models☆34Updated 2 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆30Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆73Updated last year
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- Phi_K correlation analyzer library☆166Updated 2 weeks ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- Probabilistic prediction with XGBoost.☆110Updated 4 months ago
- Berlin Time Series Analysis Repository☆100Updated 2 years ago
- ☆121Updated this week
- ☆38Updated 3 years ago
- Repository containing the code of the projects presented in my personal website.☆42Updated last week
- Probabilistic Gradient Boosting Machines☆156Updated last year
- A Library for Conformal Hyperparameter Tuning☆31Updated this week
- Missing data amputation and exploration functions for Python☆71Updated 2 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆69Updated 2 months ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 5 months ago
- A library for Time Series EDA (exploratory data analysis)☆71Updated 11 months ago
- implementation of Cyclic Boosting machine learning algorithms☆90Updated 11 months ago
- ☆115Updated last year