mango
Hyperactive
| mango | Hyperactive | |
|---|---|---|
| - | 8 | |
| 310 | 490 | |
| 1.0% | - | |
| 5.8 | 7.7 | |
| about 2 months ago | 5 months ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | MIT License |
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mango
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Tracking mentions began in Dec 2020.
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.
What are some alternatives?
machine_learning_basics - Plain python implementations of basic machine learning algorithms
pybobyqa - Python-based Derivative-Free Optimization with Bound Constraints
vizier - Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
opytimizer - 🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
neural-tangents - Fast and Easy Infinite Neural Networks in Python
OpenMetadata - Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
Bayesian-Optimization-in-FSharp - Bayesian Optimization via Gaussian Processes in F#
optuna-examples - Examples for https://github.com/optuna/optuna
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.
optimization-tutorial - Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
anovos - Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark