Rughalt / mini-objective-javaLinks
Objective Programming with Java
☆10Updated 5 years ago
Alternatives and similar repositories for mini-objective-java
Users that are interested in mini-objective-java are comparing it to the libraries listed below
Sorting:
- ☆13Updated 5 years ago
- ☆11Updated 4 years ago
- ☆13Updated 2 years ago
- Materiały z seminariów prowadzonych w MI^2 DataLabie.☆33Updated 3 weeks ago
- ☆12Updated 2 months ago
- moDel Agnostic Language for Exploration and eXplanation☆1,451Updated 2 months ago
- Explainable Machine Learning in Survival Analysis☆117Updated last year
- ☆10Updated 5 years ago
- Multiple Imputation with LightGBM in Python☆403Updated 2 months ago
- Local interpretability for survival models☆24Updated last year
- Convenient, opinionated wrapper around some (deep) survival models☆15Updated 2 months ago
- Trees are all you need☆112Updated last year
- SurvSHAP(t): Time-dependent explanations of machine learning survival models☆95Updated 2 years ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆342Updated last year
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆92Updated last year
- 📍 Interactive Studio for Explanatory Model Analysis☆332Updated 2 years ago
- Explaining the output of machine learning models with more accurately estimated Shapley values☆174Updated this week
- A collection of visual guides to help applied scientists learn causal inference.☆290Updated 3 years ago
- iml: interpretable machine learning R package☆501Updated 10 months ago
- ☆11Updated last year
- SHAP Plots in R☆114Updated 2 months ago
- Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…☆87Updated 2 weeks ago
- ☆13Updated 9 months ago
- Resources for Survival Analysis☆98Updated 6 months ago
- DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanatio…☆689Updated 2 years ago
- Different SHAP algorithms☆56Updated 3 months ago
- Compilation of high-profile real-world examples of failed machine learning projects☆743Updated last year
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆197Updated last year
- ☆62Updated 7 months ago
- Survival analysis using Deep Learning.☆15Updated 2 years ago