hyperparameter-search topic
wandb
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
pbt
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
auto-sklearn
Automated Machine Learning with scikit-learn
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
sherpa
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.