Skip to content
#

feature-engineering

Here are 3,069 public repositories matching this topic...

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  • Updated Jul 3, 2024
  • Python
mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

  • Updated Nov 26, 2024
  • Python

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

  • Updated Sep 29, 2023
  • Scala

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

  • Updated Aug 27, 2022
  • Jupyter Notebook

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

  • Updated Dec 17, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the feature-engineering topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the feature-engineering topic, visit your repo's landing page and select "manage topics."

Learn more