The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

unofficial Python implementation to demonstrate PLaMo-100B

Python library to use packages in OptunaHub

Elasticsearch integration into LangChain

Atomistic simulation hands on tutorial on Matlantis

FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.

A hyperparameter optimization framework

XGBoost + Optuna

Tools for Optuna, MLflow and the integration of both.

⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy

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

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

PFRL: a PyTorch-based deep reinforcement learning library

Synchronize your working directory efficiently to a remote place without committing the changes.

Black-box optimizer submitted to BBO challenge at NeurIPS 2020

Real-time Web Dashboard for Optuna.

A third-party dashboard for optuna.

A toy hyperparameter optimization framework intended for understanding Optuna's internal design.

A Rust implementation of fANOVA (functional analysis of variance)

Flexible Feature Engineering & Exploration Library using GPUs and Optuna.

Supplementary components to accelerate research and development in PyTorch

Python library for CMA Evolution Strategy.

A black-box optimization benchmark tool

A shell-friendly hyperparameter search tool inspired by Optuna