sergeyf / SmallDataBenchmarks
Small Dataset Benchmarks on the Dataset of Datasets UCI++
☆88Updated 2 years ago
Alternatives and similar repositories for SmallDataBenchmarks:
Users that are interested in SmallDataBenchmarks are comparing it to the libraries listed below
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆42Updated last year
- ☆17Updated 3 years ago
- Explaining dimensionality results using SHAP values☆53Updated 2 months ago
- ☆197Updated 2 weeks ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- TabNet for fastai☆123Updated last year
- Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"☆61Updated last year
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆76Updated 2 years ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated last year
- Code accompanying the "Debugging machine learning in production" talk☆29Updated 3 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Batch shap calculations.☆30Updated 2 years ago
- Hierarchical Uniform Manifold Approximation and Projection☆233Updated last month
- Gradient Boosted Trees + Bayesian Optimization☆25Updated 3 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- Course for Interpreting ML Models☆52Updated 2 years ago
- Python package for Gower distance☆77Updated 10 months ago
- List of python packages for causal inference☆17Updated 3 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆105Updated last year
- Clusteval provides methods for unsupervised cluster validation☆58Updated 2 weeks ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆60Updated 6 months ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- ☆150Updated 2 years ago
- Python implementation of iterative-random-forests☆64Updated last year
- Measure and visualize machine learning model performance without the usual boilerplate.☆97Updated 6 months ago
- Clustering for mixed-type data☆98Updated 7 months ago
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- Developmental tools to detect data drift☆15Updated last year
- ☆27Updated 2 years ago