vizier
mango
| vizier | mango | |
|---|---|---|
| 5 | - | |
| 1,173 | 310 | |
| 0.7% | 1.0% | |
| 9.3 | 5.8 | |
| 1 day ago | about 2 months ago | |
| Python | Jupyter Notebook | |
| 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.
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
mango
We haven't tracked posts mentioning mango yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
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machine_learning_basics - Plain python implementations of basic machine learning algorithms
keras-tuner - A Hyperparameter Tuning Library for Keras
neural-tangents - Fast and Easy Infinite Neural Networks in Python
tune - An abstraction layer for parameter tuning
Bayesian-Optimization-in-FSharp - Bayesian Optimization via Gaussian Processes in F#
mlr3hyperband - Successive Halving and Hyperband in the mlr3 ecosystem
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.
baybe - Bayesian Optimization and Design of Experiments
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.