cpa-analytics / embedding-encoderLinks
Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
☆41Updated 2 years ago
Alternatives and similar repositories for embedding-encoder
Users that are interested in embedding-encoder are comparing it to the libraries listed below
Sorting:
- TabNet for fastai☆124Updated last month
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- Small Dataset Benchmarks on the Dataset of Datasets UCI++☆87Updated 3 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
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- A general purpose recommender metrics library for fair evaluation.☆279Updated 2 years ago
- Probabilistic Gradient Boosting Machines☆157Updated last year
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆108Updated 3 years ago
- 📈🔍 Lets Python do AB testing analysis.☆78Updated 6 months ago
- ☆201Updated last week
- Python package for Imputation Methods☆251Updated last year
- Clustering for mixed-type data☆101Updated last year
- Random Forest or XGBoost? It is Time to Explore LCE☆68Updated 2 years ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆73Updated 3 months ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆61Updated last year
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 3 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- Missing data amputation and exploration functions for Python☆72Updated 2 years ago
- Batch shap calculations.☆31Updated 2 years ago
- Boosted neural network for tabular data☆216Updated last year
- An extension of CatBoost to probabilistic modelling☆147Updated last year
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆99Updated last year
- Phi_K correlation analyzer library☆167Updated last week
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- ☆27Updated 3 years ago
- Multivariate Boosted TRee☆63Updated 3 years ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆105Updated 3 months ago
- Example usage of scikit-hts☆57Updated 3 years ago
- Editing machine learning models to reflect human knowledge and values☆126Updated 2 years ago