evalml VS easyopt

What are some alternatives?

Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.

tuneta - Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Ray - 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.

AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

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

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

SAP-HANA-AutoML - Python Automated Machine Learning library for tabular data.

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Auto_ViML - Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

optuna - A hyperparameter optimization framework

powershap - A power-full Shapley feature selection method.

llm_optimize - LLM Optimize is a proof-of-concept library for doing LLM (large language model) guided blackbox optimization.