Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
Stars: ✭ 1,559 (+756.59%)
Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (+256.04%)
Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Stars: ✭ 961 (+428.02%)
TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Stars: ✭ 8,378 (+4503.3%)
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 (+5778.02%)
Auto SklearnAutomated Machine Learning with scikit-learn
Stars: ✭ 5,916 (+3150.55%)
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
Stars: ✭ 3,920 (+2053.85%)
LaleLibrary for Semi-Automated Data Science
Stars: ✭ 198 (+8.79%)
XcessivA web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Stars: ✭ 1,255 (+589.56%)
MlboxMLBox is a powerful Automated Machine Learning python library.
Stars: ✭ 1,199 (+558.79%)
Scikit OptimizeSequential model-based optimization with a `scipy.optimize` interface
Stars: ✭ 2,258 (+1140.66%)
AutodlAutomated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]
Stars: ✭ 854 (+369.23%)
Hpbandstera distributed Hyperband implementation on Steroids
Stars: ✭ 456 (+150.55%)
mindwareAn efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Stars: ✭ 34 (-81.32%)
FeaturetoolsAn open source python library for automated feature engineering
Stars: ✭ 5,891 (+3136.81%)
Adversarial Robustness ToolboxAdversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Stars: ✭ 2,638 (+1349.45%)
Cornell MoeA Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Stars: ✭ 198 (+8.79%)
Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
Stars: ✭ 2,477 (+1260.99%)
Auto vimlAutomatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Stars: ✭ 216 (+18.68%)
Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Stars: ✭ 218 (+19.78%)
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (+6.59%)
Automl alexState-of-the art Automated Machine Learning python library for Tabular Data
Stars: ✭ 132 (-27.47%)
mindwareAn efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Stars: ✭ 34 (-81.32%)
Pygmo2A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Stars: ✭ 134 (-26.37%)
syne-tuneLarge scale and asynchronous Hyperparameter Optimization at your fingertip.
Stars: ✭ 105 (-42.31%)
Hyperopt.jlHyperparameter optimization in Julia.
Stars: ✭ 144 (-20.88%)
ultraoptDistributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
Stars: ✭ 93 (-48.9%)
AutovizAutomatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Stars: ✭ 310 (+70.33%)
ChocolateA fully decentralized hyperparameter optimization framework
Stars: ✭ 112 (-38.46%)
LightautomlLAMA - automatic model creation framework
Stars: ✭ 196 (+7.69%)
Pagmo2A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Stars: ✭ 540 (+196.7%)
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 (+10090.66%)
Smac3Sequential Model-based Algorithm Configuration
Stars: ✭ 564 (+209.89%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+1107.14%)
AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
Stars: ✭ 51 (-71.98%)
mangoParallel Hyperparameter Tuning in Python
Stars: ✭ 241 (+32.42%)
osprey🦅Hyperparameter optimization for machine learning pipelines 🦅
Stars: ✭ 71 (-60.99%)
Igela delightful machine learning tool that allows you to train, test, and use models without writing code
Stars: ✭ 2,956 (+1524.18%)
SimpleExperimental Global Optimization Algorithm
Stars: ✭ 450 (+147.25%)
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 (+279.67%)
RemixautomlR package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
Stars: ✭ 159 (-12.64%)
PbaEfficient Learning of Augmentation Policy Schedules
Stars: ✭ 461 (+153.3%)
EvalmlEvalML is an AutoML library written in python.
Stars: ✭ 145 (-20.33%)
Hyperlearn50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Stars: ✭ 1,204 (+561.54%)
AuptimizerAn automatic ML model optimization tool.
Stars: ✭ 166 (-8.79%)
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 (+126.37%)
Gradient Free OptimizersSimple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Stars: ✭ 711 (+290.66%)
BlurrData transformations for the ML era
Stars: ✭ 96 (-47.25%)
MlrmboToolbox for Bayesian Optimization and Model-Based Optimization in R
Stars: ✭ 173 (-4.95%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+732.97%)
DeephyperDeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Stars: ✭ 117 (-35.71%)
BlazingsqlBlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
Stars: ✭ 1,652 (+807.69%)
HypertunityA toolset for black-box hyperparameter optimisation.
Stars: ✭ 119 (-34.62%)
NasbotNeural Architecture Search with Bayesian Optimisation and Optimal Transport
Stars: ✭ 120 (-34.07%)
ModelchimpExperiment tracking for machine and deep learning projects
Stars: ✭ 121 (-33.52%)
Dive Into Machine LearningDive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.
Stars: ✭ 10,810 (+5839.56%)