NITRO-AI / NitroFELinks
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
☆106Updated 3 years ago
Alternatives and similar repositories for NitroFE
Users that are interested in NitroFE are comparing it to the libraries listed below
Sorting:
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 5 months ago
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆121Updated last year
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…☆247Updated 3 weeks ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- Automated Tool for Optimized Modelling☆159Updated 11 months 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
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆165Updated last week
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆118Updated 2 years ago
- Feature engineering package with sklearn like functionality☆54Updated 10 months ago
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆211Updated 8 months ago
- Multivariate Boosted TRee☆63Updated 2 years ago
- Wrap-up to automatically tune xgboost in Python.☆80Updated 3 years ago
- Example usage of scikit-hts☆57Updated 2 years ago
- OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…☆27Updated last year
- Automated Transparent Genetic Feature Engineering☆22Updated 2 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 4 months ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆80Updated 3 years ago
- Probabilistic Gradient Boosting Machines☆155Updated last year
- Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.co…☆181Updated 2 years ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆71Updated 3 years ago
- Data Analysis Baseline Library☆132Updated 8 months ago
- 📈 The panel-highcharts package makes it easy to use HighCharts in Python, Notebooks and with HoloViz Panel.☆159Updated 2 years ago
- Phi_K correlation analyzer library☆164Updated this week
- Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark☆75Updated 2 years ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated last year
- Library for Multi-objective optimization in Gradient Boosted Trees☆77Updated 10 months ago
- Various methods for generating synthetic data for data science and ML☆80Updated 3 years ago