Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
-
Updated
Sep 17, 2024 - Python
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Generalized and Efficient Blackbox Optimization System.
Generalized and Efficient Blackbox Optimization System
Fast and customizable framework for automatic ML model creation (AutoML)
【数据科学家系列课程】
State-of-the art Automated Machine Learning python library for Tabular Data
DeepArchitect: Automatically Designing and Training Deep Architectures
Final Year Btech Face recognition Attendance System Project with code and Documents. Video Implementation with explanation too. Base IEEE paper Implementation
A general, modular, and programmable architecture search framework
Package: R Interface to AutoKeras
This repo holds the code, dataset, and running scripts for fast k-means evaluation
Comparison of automatic machine learning libraries
Auto ML for the tidyverse
Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.
SKSurrogate is a suite of tools that implements surrogate optimization for expensive functions based on scikit-learn. The main purpose of SKSurrogate is to facilitate hyperparameter optimization for machine learning models and optimized pipeline design (AutoML).
Khiops is an AutoML suite for supervised and unsupervised learning
Awesome papers on AutoML (Automatic Machine Learning)
An automatic machine learning system
Experiments of AutoML/data science packages and solving Kaggle competition in Google Colaboratory or DevContainer/Codespace
The Python library of the Khiops AutoML suite
Add a description, image, and links to the automatic-machine-learning topic page so that developers can more easily learn about it.
To associate your repository with the automatic-machine-learning topic, visit your repo's landing page and select "manage topics."