Khiops is an AutoML suite for supervised and unsupervised learning
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Updated
May 30, 2024 - C++
Khiops is an AutoML suite for supervised and unsupervised learning
Fast and customizable framework for automatic ML model creation (AutoML)
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
EzStacking: From data to Kubernetes thru Scikit-Learn, FastAPI and Docker in a few clicks and command lines!
Generalized and Efficient Blackbox Optimization System
The Python library of the Khiops AutoML suite
【数据科学家系列课程】
Experiments of AutoML/data science packages and solving Kaggle competition in Google Colaboratory or DevContainer/Codespace
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.
Smart Process Analytics (SPA) is a software package for automatic machine learning. Given user-input data (and optional user preferences), SPA automatically cross-validates and tests ML and DL models. Model types are selected based on the properties of the data, minimizing the risk of data-specific variance.
An automatic machine learning system
mlim: single and multiple imputation with automated machine learning
State-of-the art Automated Machine Learning python library 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).
A collection of courses at Master program at Deep Learning department in ITMO University
A general, modular, and programmable architecture search framework
Apprendimento automatico
Generalized and Efficient Blackbox Optimization System.
Automate machine learning EDA and model building using Pandas Profiling & PyCaret.
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