Alternatives and similar repositories for mini-objective-java

Users that are interested in mini-objective-java are comparing it to the libraries listed below

• keencelia / oo-java2
  ☆13Updated 4 years ago
• mini-pw / 2021L-WarsztatyBadawcze
  ☆11Updated 4 years ago
• mini-pw / 2021L-WUM
  ☆13Updated 2 years ago
• MI2DataLab / MI2DataLab_Seminarium
  Materiały z seminariów prowadzonych w MI^2 DataLabie.
  ☆33Updated 3 months ago
• sobieskibj / kbdm
  ☆11Updated 10 months ago
• ModelOriented / DALEX
  moDel Agnostic Language for Exploration and eXplanation
  ☆1,435Updated last month
• ModelOriented / modelStudio
  📍 Interactive Studio for Explanatory Model Analysis
  ☆333Updated 2 years ago
• ModelOriented / DrWhy
  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
• kathoffman / causal-inference-visual-guides
  A collection of visual guides to help applied scientists learn causal inference.
  ☆280Updated 2 years ago
• giuseppec / iml
  iml: interpretable machine learning R package
  ☆501Updated 6 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆387Updated last year
• ModelOriented / survex
  Explainable Machine Learning in Survival Analysis
  ☆115Updated last year
• NorskRegnesentral / shapr
  Explaining the output of machine learning models with more accurately estimated Shapley values
  ☆164Updated last week
• pbiecek / ema
  Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
  ☆192Updated last year
• mini-pw / 2023L-ExploratoryDataAnalysis
  Introduction to exploratory data analysis course for Mathematics and data analysis studies in Spring 2022/2023
  ☆16Updated 2 years ago
• RamiKrispin / deploy-flex-actions
  Deploying flexdashboard on Github Pages with Docker and Github Actions
  ☆216Updated last year
• adrianolszewski / model-based-testing-hypotheses
  Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…
  ☆84Updated last year
• amices / mice
  Multivariate Imputation by Chained Equations
  ☆484Updated 3 weeks ago
• ModelOriented / forester
  Trees are all you need
  ☆113Updated last year
• ModelOriented / treeshap
  Compute SHAP values for your tree-based models using the TreeSHAP algorithm
  ☆88Updated last year
• facebookresearch / balance
  The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…
  ☆704Updated this week
• easystats / performance
  Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
  ☆1,100Updated this week
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆341Updated 11 months ago
• RamiKrispin / shinylive
  A guide for deploying Shinylive Python application into Github Pages
  ☆135Updated last year
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,490Updated last week
• EagerAI / fastai
  R interface to fast.ai
  ☆118Updated 6 months ago
• EmilHvitfeldt / feature-engineering-az
  Source for book "Feature Engineering A-Z"
  ☆150Updated 3 weeks ago
• markhwhiteii / bwsTools
  Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs
  ☆13Updated 4 years ago
• vincentarelbundock / marginaleffects
  R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 clas…
  ☆558Updated last week
• ModelOriented / shapviz
  SHAP Plots in R
  ☆106Updated last month