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 2 weeks ago
- moDel Agnostic Language for Exploration and eXplanation (JMLR 2018; JMLR 2021)☆1,450Updated last month
- ☆11Updated 3 weeks ago
- ☆11Updated last year
- 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
- Introduction to exploratory data analysis course for Mathematics and data analysis studies in Spring 2022/2023☆16Updated 2 years ago
- ☆10Updated 5 years ago
- Explainable Machine Learning in Survival Analysis☆116Updated last year
- iml: interpretable machine learning R package☆502Updated 9 months ago
- 📍 Interactive Studio for Explanatory Model Analysis☆333Updated 2 years ago
- A collection of visual guides to help applied scientists learn causal inference.☆288Updated 3 years ago
- Convenient, opinionated wrapper around some (deep) survival models☆13Updated last month
- Multiple Imputation with LightGBM in Python☆396Updated last month
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,467Updated 4 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,522Updated last week
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆196Updated last year
- Trees are all you need☆112Updated last year
- Notebooks of the eXplainableAI working group of the German actuarial association☆12Updated 10 months ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆342Updated last year
- SurvSHAP(t): Time-dependent explanations of machine learning survival models☆94Updated last year
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆90Updated last year
- Explaining the output of machine learning models with more accurately estimated Shapley values☆170Updated last week
- Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…☆84Updated 2 years ago
- Create sparse and accurate risk scoring systems!☆43Updated last year
- Multivariate Imputation by Chained Equations☆493Updated last week
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆714Updated last week
- An open-source Python library for the assessment of utility and privacy performance of any tabular synthetic dataset.☆23Updated 5 months ago