Python library to use packages in OptunaHub

Python ドキュメント日本語訳プロジェクト

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Simple, Pythonic building blocks to evaluate LLM applications.

Japanese morphological analysis engine written in pure Python

Python library for CMA Evolution Strategy.

NumPy & SciPy for GPU

A black-box optimization benchmark tool

Real-time Web Dashboard for Optuna.

Extended functionalities for Optuna in combination with third-party libraries.

Examples for https://github.com/optuna/optuna

A hyperparameter optimization framework

Kubernetes Cluster created with Raspberry and K3S distribution. This repo includes documentation and the setup of the cluster and resources in the cluster.

Tools for various online judges. Downloading sample cases, generating additional test cases, testing your code, and submitting it.

競技プログラミングでよく使うアルゴリズム