• TPOT

  • Referenced in 11 articles [sw18808]
  • response to this demand, automated machine learning (AutoML) researchers have begun building systems that automate ... v0.3, an open source genetic programming-based AutoML system that optimizes a series of feature ... human input. As such, GP-based AutoML systems show considerable promise in the AutoML domain...
  • ML-plan

  • Referenced in 5 articles [sw40694]
  • learning via hierarchical planning. Automated machine learning (AutoML) seeks to automatically select, compose, and parametrize ... given task (dataset). Although current approaches to AutoML have already produced impressive results, the field ... present ML-Plan, a new approach to AutoML based on hierarchical planning. To highlight...
  • AMC

  • Referenced in 5 articles [sw36241]
  • AutoML for Model Compression and Acceleration on Mobile Devices. Model compression is a critical technique ... time-consuming. In this paper, we propose AutoML for Model Compression (AMC) which leverage reinforcement...
  • AutoKeras

  • Referenced in 7 articles [sw33648]
  • methods. Moreover, we build an open-source AutoML system based on our method, namely Auto...
  • OBOE

  • Referenced in 3 articles [sw35832]
  • OBOE: Collaborative Filtering for AutoML Model Selection. Algorithm selection and hyperparameter tuning remain ... tasks in machine learning. Automated machine learning (AutoML) seeks to automate these tasks to enable ... bilinear model used by OBOE suggests that AutoML may be simpler than was previously understood...
  • automl

  • Referenced in 3 articles [sw32865]
  • package automl: Deep Learning with Metaheuristic. Fits from simple regression to highly customizable deep neural...
  • AutoGluon-Tabular

  • Referenced in 2 articles [sw40229]
  • AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data. We introduce AutoGluon-Tabular, an open ... source AutoML framework that requires only a single line of Python to train highly accurate ... such as a CSV file. Unlike existing AutoML frameworks that primarily focus on model/hyperparameter selection ... extensive evaluation of public and commercial AutoML platforms including TPOT, H2O, AutoWEKA, auto-sklearn, AutoGluon...
  • AutoNE

  • Referenced in 2 articles [sw38085]
  • achieve satisfactory performance. Though automated machine learning (AutoML) has achieved promising results when applied ... texts, network data poses great challenges to AutoML and remains largely ignored by the literature ... AutoML. The biggest obstacle is the massive scale of real-world networks, along with...
  • AutoGL

  • Referenced in 1 article [sw38082]
  • machine learning on graphs. Automated machine learning (AutoML) on graphs is on the horizon ... task. However, all current libraries cannot support AutoML on graphs. To tackle this problem...
  • Neuraxle

  • Referenced in 1 article [sw40392]
  • Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have ... abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces...
  • Autotext

  • Referenced in 1 article [sw40695]
  • Autotext: AutoML for Text Classification. Meta-learning of textual representations. Recent progress in AutoML...
  • autoBOT

  • Referenced in 1 article [sw40696]
  • present autoBOT (automatic Bags-Of-Tokens), an autoML approach suitable for low resource learning scenarios ... classification tasks when compared against a competitive autoML approach that evolves ensemble models, as well...
  • DriveML

  • Referenced in 1 article [sw32864]
  • become very popular. Automated Machine Learning (AutoML) mainly refers to the automated methods for model...
  • Katib

  • Referenced in 1 article [sw37565]
  • Kubernetes-native project for automated machine learning (AutoML). Katib supports Hyperparameter Tuning, Early Stopping...
  • NLTK

  • Referenced in 42 articles [sw00626]
  • This book offers an introduction to Natural Language...
  • R

  • Referenced in 10196 articles [sw00771]
  • R is a language and environment for statistical...
  • UCI-ml

  • Referenced in 3444 articles [sw04074]
  • UC Irvine Machine Learning Repository. We currently maintain...
  • LIBSVM

  • Referenced in 1204 articles [sw04879]
  • LIBSVM is a library for Support Vector Machines...
  • SciPy

  • Referenced in 791 articles [sw06293]
  • SciPy (pronounced ”Sigh Pie”) is open-source software...
  • JavaScript

  • Referenced in 166 articles [sw06868]
  • JavaScript is a scripting language for computers. It...