NITRO-AI / NitroFE
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 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for NitroFE
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆88Updated 10 months ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆64Updated 9 months ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆104Updated last year
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- Feature engineering package with sklearn like functionality☆50Updated 2 months ago
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆205Updated 3 weeks ago
- zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…☆243Updated 4 months ago
- Multivariate Boosted TRee☆63Updated 2 years ago
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆120Updated 6 months ago
- Streamline scikit-learn model comparison.☆146Updated 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 last year
- 📈 The panel-highcharts package makes it easy to use HighCharts in Python, Notebooks and with HoloViz Panel.☆153Updated 2 years ago
- Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.co…☆181Updated last year
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆82Updated 10 months ago
- scikit-learn compatible tools for building credit risk acceptance models☆85Updated 3 months ago
- A python package for time series forecasting with scikit-learn estimators.☆160Updated 7 months ago
- Data Analysis Baseline Library☆131Updated 3 weeks ago
- A Python libreary for removing collinearity☆28Updated 3 years ago
- 📈🔍 Lets Python do AB testing analysis☆75Updated 7 months ago
- Example usage of scikit-hts☆56Updated 2 years ago
- Hierarchical Time Series Forecasting with a familiar API☆223Updated last year
- Phi_K correlation analyzer library☆157Updated last week
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆61Updated last month
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated last year
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Random Forest or XGBoost? It is Time to Explore LCE☆67Updated last year
- Pre-processing database using pre-written functions☆20Updated 4 years ago
- Automated Tool for Optimized Modelling☆154Updated 4 months ago
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆100Updated last year