tonyleidong / OptimalFlowLinks
OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments(PCTE) and Selection-based Feature Preprocessor with Ensemble Encoding(SPEE), to help data scientists build optimal models, and automate supervised learning workflow with simpler coding.
☆27Updated last year
Alternatives and similar repositories for OptimalFlow
Users that are interested in OptimalFlow are comparing it to the libraries listed below
Sorting:
- 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
- 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
- Various methods for generating synthetic data for data science and ML☆80Updated 3 years ago
- 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
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆165Updated last week
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated 2 years ago
- Structural Time Series on US electricity demand data☆22Updated 4 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- A library for composing end-to-end tunable machine learning pipelines.☆119Updated 5 months ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆71Updated 3 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 2 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 5 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆99Updated this week
- python library for automated dataset normalization☆116Updated last year
- Example usage of scikit-hts☆57Updated 2 years ago
- Guide for applying Unit Testing in data-driven projects☆19Updated 5 years ago
- Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark☆76Updated 2 years ago
- Record matching and entity resolution at scale in Spark☆34Updated last year
- ☆96Updated 5 years ago
- Examples how MLJAR can be used☆60Updated last year
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!☆104Updated 2 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
- Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications☆52Updated 4 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- Data Analysis Baseline Library☆132Updated 8 months ago