Rughalt / mini-objective-javaLinks
Objective Programming with Java
☆10Updated 4 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 4 years ago
- ☆11Updated 4 years ago
- ☆13Updated 2 years ago
- Materiały z seminariów prowadzonych w MI^2 DataLabie.☆33Updated 3 months ago
- Strona przedmiotu Techniki Wizualizacji Danych na wydziale MiNI PW☆8Updated last year
- ☆11Updated 9 months ago
- ☆9Updated 5 years ago
- moDel Agnostic Language for Exploration and eXplanation☆1,435Updated 2 weeks ago
- The repositiory for open source solutions designed and deleoped during NLP course conducted by Anna Wróblewska @ Warsaw University of Tec…☆9Updated last year
- ☆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
- iml: interpretable machine learning R package☆501Updated 5 months ago
- 📍 Interactive Studio for Explanatory Model Analysis☆333Updated last year
- Trees are all you need☆113Updated last year
- A guide for deploying Shinylive Python application into Github Pages☆135Updated last year
- Deploying flexdashboard on Github Pages with Docker and Github Actions☆216Updated last year
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆192Updated last year
- Explaining the output of machine learning models with more accurately estimated Shapley values☆164Updated this week
- R interface to fast.ai☆118Updated 5 months ago
- Explainable Machine Learning in Survival Analysis☆114Updated last year
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆88Updated last year
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆703Updated this week
- Variable Importance Plots (VIPs)☆187Updated last year
- Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…☆84Updated last year
- Lecture notes for 'Interpretable Machine Learning' at UoW. Summer semester 2020/2021☆13Updated 4 years ago
- 📊 Data Visualization Techniques course for DS studies in Winter 2020/21☆179Updated 4 years ago
- R package for automation of machine learning, forecasting, model evaluation, and model interpretation☆246Updated 3 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,488Updated last month
- SHAP Plots in R☆103Updated 2 weeks ago
- Package for Explanations of Remote Sensing Imagery☆17Updated 3 weeks ago