hyperparameter-optimization topic

Derivative-Free Global Optimization Method (C++, Python binding)

avaneev

Population Based Training, Figure 2

bkj

PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.

pyhopper

🐟Tunny🐟 is Grasshopper's optimization component using Optuna, an open source hyperparameter auto-optimization framework.

hrntsm

MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)

GMC-DRL

Propulate is an asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.

Helmholtz-AI-Energy

Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”

lamda-bbo

Interactive coding assistant for data scientists and machine learning developers, empowered by large language models.

microsoft

The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategi...

david-thrower

python experiment management toolset

davidenunes