TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Stars: ✭ 8,378 (+2585.26%)
EvolutionaryForestAn open source python library for automated feature engineering based on Genetic Programming
Stars: ✭ 56 (-82.05%)
Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Stars: ✭ 961 (+208.01%)
NniAn open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Stars: ✭ 10,698 (+3328.85%)
Hpbandstera distributed Hyperband implementation on Steroids
Stars: ✭ 456 (+46.15%)
Smac3Sequential Model-based Algorithm Configuration
Stars: ✭ 564 (+80.77%)
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
Stars: ✭ 3,920 (+1156.41%)
Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
Stars: ✭ 1,559 (+399.68%)
mindwareAn efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Stars: ✭ 34 (-89.1%)
Auto SklearnAutomated Machine Learning with scikit-learn
Stars: ✭ 5,916 (+1796.15%)
LaleLibrary for Semi-Automated Data Science
Stars: ✭ 198 (-36.54%)
AuptimizerAn automatic ML model optimization tool.
Stars: ✭ 166 (-46.79%)
HypernetsA General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Stars: ✭ 221 (-29.17%)
Awesome Automlcollecting related resources of automated machine learning here
Stars: ✭ 39 (-87.5%)
AutokerasAutoML library for deep learning
Stars: ✭ 8,269 (+2550.32%)
Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
Stars: ✭ 1,297 (+315.71%)
AutofeatLinear Prediction Model with Automated Feature Engineering and Selection Capabilities
Stars: ✭ 178 (-42.95%)
AutoalbumentAutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
Stars: ✭ 99 (-68.27%)
LightautomlLAMA - automatic model creation framework
Stars: ✭ 196 (-37.18%)
Auto-SurpriseAn AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
Stars: ✭ 19 (-93.91%)
Awesome Automl PapersA curated list of automated machine learning papers, articles, tutorials, slides and projects
Stars: ✭ 3,198 (+925%)
AtmAuto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
Stars: ✭ 504 (+61.54%)
ultraoptDistributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
Stars: ✭ 93 (-70.19%)
AutovizAutomatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Stars: ✭ 310 (-0.64%)
Auto vimlAutomatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Stars: ✭ 216 (-30.77%)
RecipeAutomated machine learning (AutoML) with grammar-based genetic programming
Stars: ✭ 42 (-86.54%)
AutodlAutomated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]
Stars: ✭ 854 (+173.72%)
FeaturetoolsAn open source python library for automated feature engineering
Stars: ✭ 5,891 (+1788.14%)
MlboxMLBox is a powerful Automated Machine Learning python library.
Stars: ✭ 1,199 (+284.29%)
PbaEfficient Learning of Augmentation Policy Schedules
Stars: ✭ 461 (+47.76%)
TransmogrifaiTransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Stars: ✭ 2,084 (+567.95%)
AutoclintA specially designed light version of Fast AutoAugment
Stars: ✭ 171 (-45.19%)
FlamlA fast and lightweight AutoML library.
Stars: ✭ 205 (-34.29%)
Machinejs[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Stars: ✭ 412 (+32.05%)
Meta-SACAuto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
Stars: ✭ 19 (-93.91%)
Automl alexState-of-the art Automated Machine Learning python library for Tabular Data
Stars: ✭ 132 (-57.69%)
MilanoMilano is a tool for automating hyper-parameters search for your models on a backend of your choice.
Stars: ✭ 140 (-55.13%)
BtbA simple, extensible library for developing AutoML systems
Stars: ✭ 159 (-49.04%)
RayAn open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Stars: ✭ 18,547 (+5844.55%)
FEDOT.WebGraphic tool for the automated evolutionary design of composite models
Stars: ✭ 33 (-89.42%)
SimpleGPSimple Genetic Programming for Symbolic Regression in Python3
Stars: ✭ 20 (-93.59%)
tiny gpTiny Genetic Programming in Python
Stars: ✭ 58 (-81.41%)
DeephyperDeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Stars: ✭ 117 (-62.5%)
Mlmodelsmlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
Stars: ✭ 145 (-53.53%)
simon-frontend💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻
Stars: ✭ 114 (-63.46%)
HyperactiveA hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
Stars: ✭ 182 (-41.67%)
XcessivA web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Stars: ✭ 1,255 (+302.24%)
AutoPrognosisCodebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
Stars: ✭ 47 (-84.94%)
Hyperopt.jlHyperparameter optimization in Julia.
Stars: ✭ 144 (-53.85%)
vitaVita - Genetic Programming Framework
Stars: ✭ 24 (-92.31%)
MAP-ElitesPython implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
Stars: ✭ 38 (-87.82%)
Awesome Automl And Lightweight ModelsA list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Stars: ✭ 691 (+121.47%)
autodoOfficial PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"
Stars: ✭ 19 (-93.91%)
maggyDistribution transparent Machine Learning experiments on Apache Spark
Stars: ✭ 83 (-73.4%)
codeflareSimplifying the definition and execution, scaling and deployment of pipelines on the cloud.
Stars: ✭ 163 (-47.76%)
bboptBlack box hyperparameter optimization made easy.
Stars: ✭ 66 (-78.85%)
simplifaiFree automated deep learning for spreadsheets
Stars: ✭ 17 (-94.55%)