samarth-agrawal-86 / fast_mlLinks
☆20Updated last year
Alternatives and similar repositories for fast_ml
Users that are interested in fast_ml are comparing it to the libraries listed below
Sorting:
- Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib☆19Updated 3 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 6 months ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years 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
- 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
- Automated Tool for Optimized Modelling☆159Updated last year
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years 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
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- A Python library for machine-learning and feedback loops on streaming data☆62Updated 2 years ago
- Example of using catboost regressor with sklearn pipelines.☆12Updated 5 years ago
- Pipeline components that support partial_fit.☆46Updated last year
- ☆150Updated 2 years ago
- Demo on how to use Prefect with Docker☆27Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- SPEAR: Programmatically label and build training data quickly.☆107Updated last year
- Automatic machine learning for tabular data. ⚡🔥⚡☆70Updated 3 years ago
- ☆100Updated last week
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated last year
- How to use SHAP values for better cluster analysis☆58Updated 3 years ago
- Guide for applying Unit Testing in data-driven projects☆19Updated 5 years ago
- ☆20Updated last year
- A python library for hierarchical classification compatible with scikit-learn☆134Updated 4 months ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- ☆17Updated 3 years ago
- TigerLily: Finding drug interactions in silico with the Graph.☆99Updated 2 years ago
- Streamlit component for TensorBoard, TensorFlow's visualization toolkit☆41Updated 3 years ago
- Advanced random forest methods in Python☆57Updated last year
- Streamline scikit-learn model comparison.☆144Updated 2 years ago
- A neural network hyper parameter tuner☆30Updated last year