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Search results for tuning automl

13 search results found

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Flaml ⭐ 3,500

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Lazypredict ⭐ 2,275

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Advisor ⭐ 1,202

Open-source implementation of Google Vizier for hyper parameters tuning

Tune Sklearn ⭐ 461

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Adatune ⭐ 144

Gradient based Hyperparameter Tuning library in PyTorch

Autogbt Alt ⭐ 73

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

An automatic machine learning toolkit, including hyper-parameter tuning and feature engineering.

Enas_nni ⭐ 25

This code is for running enas on nni.

Flexible Bayesian Optimization in R

Mlr3hyperband ⭐ 17

Successive Halving and Hyperband in the mlr3 ecosystem

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

Mlr3tuningspaces ⭐ 10

Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem

1-13 of 13 search results

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