Sundar0989 / XuniVerseLinks
xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
☆118Updated 2 years ago
Alternatives and similar repositories for XuniVerse
Users that are interested in XuniVerse are comparing it to the libraries listed below
Sorting:
- TabNet for fastai☆124Updated 4 months ago
- Python implementation of the population stability index (PSI)☆142Updated last year
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 3 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- Python package for Imputation Methods☆249Updated last year
- Benchmarking different approaches for categorical encoding for tabular data☆172Updated 3 years ago
- Public solution for AutoSeries competition☆72Updated 5 years ago
- A fast xgboost feature selection algorithm☆223Updated 4 years ago
- Hierarchical Time Series Forecasting with a familiar API☆225Updated 2 years ago
- Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…☆64Updated 5 years ago
- ☆136Updated 6 years ago
- State-of-the art Automated Machine Learning python library for Tabular Data☆233Updated last year
- scikit-learn compatible implementation of stability selection.☆213Updated 2 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆107Updated 3 years ago
- A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras☆46Updated last week
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- Phi_K correlation analyzer library☆166Updated last week
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆151Updated 4 months ago
- A Tensorflow 2.0 implementation of TabNet.☆244Updated 2 years ago
- zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…☆248Updated 2 months ago
- General Interpretability Package☆58Updated 2 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- ☆100Updated 3 weeks ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- Random Forest or XGBoost? It is Time to Explore LCE☆67Updated 2 years ago
- Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks☆25Updated 5 years ago
- Wrap-up to automatically tune xgboost in Python.☆80Updated 4 years ago
- An extension of CatBoost to probabilistic modelling☆147Updated last year
- UpliftML: A Python Package for Scalable Uplift Modeling☆326Updated 2 years ago