Optuna Python Packages

cmaes

Python library for CMA Evolution Strategy.

neptune

📘 The experiment tracker for foundation model training

class-resolver

🔍 Lookup classes and instantiate them with style

optuna-dashboard

Real-time Web Dashboard for Optuna.

neptune-client

📘 The experiment tracker for foundation model training

irspack

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

jupyterlab-optuna

Real-time Web Dashboard for Optuna.

martin-binance

Free trading system for crypto exchanges SPOT market. Adaptive customizable reverse grid strategy based on martingale.

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

echolon

LLM-agent-native backtest framework for futures research — MCP server, in-package skills, catalogued error codes, typed Pydantic configs. Production engine inside Qorka @ DolphinQuant.

llama-optimus

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

tuneta

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

mltb2

Machine Learning Toolbox 2

orchard-ml

Type-Safe Deep Learning Framework for Computer Vision

tlmtc

Transfer Learning for Multi-label Text Classification

optuml

Hyperparameter optimization for multiple machine learning algorithms using Optuna, with Scikit-learn API

baseline-optimal

No description available

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.

rektgbm

No-brainer machine learning solution to achieve satisfactory performance

hpoflow

Tools for Optuna, MLflow and the integration of both.

optuna-async-helper

A Helper Library for Optuna Async Optimization