tune
vizier
| tune | vizier | |
|---|---|---|
| 1 | 5 | |
| 33 | 1,174 | |
| - | 0.8% | |
| 1.3 | 9.3 | |
| about 1 year ago | 1 day ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tune
vizier
- [N] Google Open Sources Vizier, Hyperparameter + Blackbox Optimization Service at Scale
- Is there any premade evolutionary algorithm selecting optimal NN architectures in TensorFlow ?
- Google just open sourced its Vizier optimisation suite
- Python-based research interface for blackbox and hyperparameter optimization
What are some alternatives?
FEDOT - Automated modeling and machine learning framework FEDOT
mango - Parallel Hyperparameter Tuning in Python
Distributed-Systems-Guide - Distributed Systems Guide
SpaceDrones - A simple learning environment with space drones for evolution-inspired optimization.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
bagua - Bagua Speeds up PyTorch
keras-tuner - A Hyperparameter Tuning Library for Keras
wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
mlr3hyperband - Successive Halving and Hyperband in the mlr3 ecosystem
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
baybe - Bayesian Optimization and Design of Experiments