Optuna Python Packages

cmaes

Python library for CMA Evolution Strategy.

neptune

📘 The experiment tracker for foundation model training

optuna-dashboard

Real-time Web Dashboard for Optuna.

class-resolver

🔍 Lookup classes and instantiate them with style

neptune-client

📘 The experiment tracker for foundation model training

irspack

Train, evaluate, and optimize implicit feedback-based recommender systems.

martin-binance

Free trading system for Binance SPOT API

jupyterlab-optuna

Real-time Web Dashboard for Optuna.

aiaccel

AIST Toolkit for Accelerating Machine Learning Research

abliterix

Automated alignment adjustment for LLMs — direct steering, LoRA, and MoE expert-granular abliteration, optimized via multi-objective Optuna TPE.

hyperparameter-tuning

Hyperparameter tuning with minimal boilerplate

tuneta

Optimize financial technical indicators for machine learning

mltb2

Machine Learning Toolbox 2

llama-optimus

Lightweight Python tool using Optuna for tuning llama.cpp flags: towards optimal tok/s for your machine

optuml

Optuna-optimized ML methods, with scikit-learn like API

orchard-ml

Modular PyTorch framework: Pydantic schemas + Optuna optimization + resolution-aware architectures for vision research

py-automl-lib

Python package for automated hyperparameter-optimization of common machine-learning algorithms

optkeras

OptKeras: Wrapper of Keras and Optuna to optimize hyperparameters of Deep Learning.

optuna-async-helper

A Helper Library to run asynchronous optimization with Optuna

rektgbm

No-brainer machine learning solution to achieve satisfactory performance

baseline-optimal

No description available

hpoflow

Tools for Optuna, MLflow and the integration of both.

autotuner

Automated hyper-parameter tuning for scikit-learn estimators using optuna.

rabbi

A Ml library that can be used ot clean,and use models to predict on data