Stars
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
unofficial Python implementation to demonstrate PLaMo-100B
Python library to use and implement 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.
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 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 shell-friendly hyperparameter search tool inspired by Optuna