Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
-
Updated
Jun 1, 2024 - Python
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.
TSForecasting: Automated Time Series Forecasting Framework
Library for streaming data and incremental learning algorithms.
Atlantic: Automated Data Preprocessing Framework for Supervised Machine Learning
Sugar candy for data scientist. Easy manipulation in time-series data analytics works.
Auto torch image models: train and evaluation
TinyAutoML is a comprehensive Pipeline Classifier Project thought as a Scikit-learn plugin
Powerful AutoML toolkit
This project aims to create Machine Learning models using Azure's AutoML to find the best model that fits the data and Hypderdrive to find the best hyperparameters.
Knowledge-driven AutoML
AutoML as a Service.
A GitHub compiling the input data, Python and Jupyter Notebook scripts, and all relevant statistical outputs from running the AutoMLPipe-BC automated machine learning pipeline (from the Urbanowicz Lab - https://github.com/UrbsLab) on a large-scale single nucleotide polymorphism (SNP) dataset from patients with congenital heart disease (CHD)
Shrinkit is a powerful GUI-based Python library designed for automating machine learning tasks. With its intuitive interface, Shrinkit simplifies the process of building, training, and evaluating machine learning models, making it accessible to users of all skill levels. Shrinkit is a No-code package which can be used as a GUI.
Auto Machine learning platform as seen on https://www.youtube.com/watch?v=JHJLLiMnz6A
Automating the ML Training Lifecycle with MLxOPS
Projeto de criação de modelo de machine learning para score de credito, percorrendo todo o pipeline dos dados. Coleta, exploração, tratamento, limpeza, treino e deploy.
Add a description, image, and links to the automl-pipeline topic page so that developers can more easily learn about it.
To associate your repository with the automl-pipeline topic, visit your repo's landing page and select "manage topics."