tune
Hyperactive
tune | Hyperactive | |
---|---|---|
1 | 8 | |
33 | 490 | |
- | - | |
1.3 | 7.7 | |
about 1 year ago | 5 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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tune
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?
FEDOT - Automated modeling and machine learning framework FEDOT
mango - Parallel Hyperparameter Tuning in Python
Distributed-Systems-Guide - Distributed Systems Guide
pybobyqa - Python-based Derivative-Free Optimization with Bound Constraints
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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.
bagua - Bagua Speeds up PyTorch
optuna-examples - Examples for https://github.com/optuna/optuna
wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
optimization-tutorial - Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.