Hyperactive
mango
| Hyperactive | mango | |
|---|---|---|
| 8 | - | |
| 490 | 310 | |
| - | 1.0% | |
| 7.7 | 5.8 | |
| 5 months ago | about 2 months ago | |
| Python | Jupyter Notebook | |
| MIT License | 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.
Hyperactive
- Hyperactive Version 4.5 Released
- Hyperactive: An optimization and data collection toolbox for AutoML
- Hyperactive: Optimize computationally expensive models with powerful algorithms
- Show HN: Hyperactive – A highly versatile AutoML Toolbox
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Hyperactive – Easy Neural Architecture Search for Deep Learning in Python
Check out the Neural Architecture Search Tutorial here: https://nbviewer.jupyter.org/github/SimonBlanke/hyperactive-...
Neural Architecture Search is just one of many optimization applications you can work on with Hyperactive. Check out the examples in the official github repository: https://github.com/SimonBlanke/Hyperactive/tree/master/examp...
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Gradient-Free-Optimizers A collection of modern optimization methods in Python
Gradient-Free-Optimizers is a lightweight optimization package that serves as a backend for Hyperactive: https://github.com/SimonBlanke/Hyperactive
Hyperactive can do parallel computing with multiprocessing or joblib, or a custom wrapper-function.
mango
We haven't tracked posts mentioning mango yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
pybobyqa - Python-based Derivative-Free Optimization with Bound Constraints
machine_learning_basics - Plain python implementations of basic machine learning algorithms
opytimizer - 🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
vizier - Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
OpenMetadata - Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
neural-tangents - Fast and Easy Infinite Neural Networks in Python
optuna-examples - Examples for https://github.com/optuna/optuna
Bayesian-Optimization-in-FSharp - Bayesian Optimization via Gaussian Processes in F#
optimization-tutorial - Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
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.
anovos - Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.