hyperparameter-optimization

ray

+54

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

optuna/optuna

+35

A hyperparameter optimization framework

autogluon

+10

Fast and Accurate ML in 3 Lines of Code

wandb/wandb

+4

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

mljar-supervised

+4

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

automl/SMAC3

+4

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

rl-baselines3-zoo

+4

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

coursera-deep-learning-specialization

+5

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

FLAML

+1

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