mango
vizier
| mango | vizier | |
|---|---|---|
| - | 5 | |
| 310 | 1,173 | |
| 1.0% | 0.7% | |
| 5.8 | 9.3 | |
| about 2 months ago | 1 day ago | |
| Jupyter Notebook | 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.
mango
We haven't tracked posts mentioning mango yet.
Tracking mentions began in Dec 2020.
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?
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SpaceDrones - A simple learning environment with space drones for evolution-inspired optimization.
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Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
neural-tangents - Fast and Easy Infinite Neural Networks in Python
keras-tuner - A Hyperparameter Tuning Library for Keras
Bayesian-Optimization-in-FSharp - Bayesian Optimization via Gaussian Processes in F#
tune - An abstraction layer for parameter tuning
Spotify_Song_Recommender - This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
mlr3hyperband - Successive Halving and Hyperband in the mlr3 ecosystem
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
baybe - Bayesian Optimization and Design of Experiments