Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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Updated
Sep 2, 2024 - Python
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Fast and customizable framework for automatic ML model creation (AutoML)
Generalized and Efficient Blackbox Optimization System
State-of-the art Automated Machine Learning python library for Tabular Data
DeepArchitect: Automatically Designing and Training Deep Architectures
A general, modular, and programmable architecture search framework
【数据科学家系列课程】
Final Year Btech Face recognition Attendance System Project with code and Documents. Video Implementation with explanation too. Base IEEE paper Implementation
Generalized and Efficient Blackbox Optimization System.
Package: R Interface to AutoKeras
Auto ML for the tidyverse
An automatic machine learning system
mlim: single and multiple imputation with automated machine learning
Khiops is an AutoML suite for supervised and unsupervised learning
Comparison of automatic machine learning libraries
This repo holds the code, dataset, and running scripts for fast k-means evaluation
The Python library of the Khiops AutoML suite
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.
Awesome papers on AutoML (Automatic Machine Learning)
EzStacking: From data to Kubernetes thru Scikit-Learn, FastAPI and Docker in a few clicks and command lines!
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