cpa-analytics / embedding-encoderLinks
Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
☆41Updated last year
Alternatives and similar repositories for embedding-encoder
Users that are interested in embedding-encoder are comparing it to the libraries listed below
Sorting:
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- TabNet for fastai☆124Updated 2 months ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆106Updated 3 years ago
- Small Dataset Benchmarks on the Dataset of Datasets UCI++☆89Updated 2 years ago
- Clustering for mixed-type data☆99Updated 11 months ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆73Updated 3 months ago
- Missing data amputation and exploration functions for Python☆71Updated 2 years ago
- ☆201Updated 2 months ago
- Helpers for scikit learn☆16Updated 2 years ago
- Random Forest or XGBoost? It is Time to Explore LCE☆66Updated 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☆77Updated 2 years ago
- Batch shap calculations.☆31Updated 2 years ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 2 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- Pipeline components that support partial_fit.☆46Updated 11 months ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆105Updated last year
- Probabilistic Gradient Boosting Machines☆155Updated last year
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆97Updated 10 months ago
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆100Updated 2 months ago
- Boosted neural network for tabular data☆214Updated 11 months ago
- Example usage of scikit-hts☆57Updated 2 years ago
- Python package for Imputation Methods☆249Updated last year
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- 📈🔍 Lets Python do AB testing analysis.☆78Updated 2 months ago
- Multivariate Boosted TRee☆63Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆127Updated last year