spaceopt
Hyperactive
| spaceopt | Hyperactive | |
|---|---|---|
| 1 | 8 | |
| 42 | 492 | |
| - | - | |
| 3.6 | 7.7 | |
| almost 2 years ago | 5 months ago | |
| Python | Python | |
| MIT License | MIT License |
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spaceopt
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[D] What kind of Hyperparameter Optimisation do you use?
I had exactly the same problem: How do I naturally integrate human expertise or manual interventions into automatic hyperparameter optimization process? I ended up writing my own algorithm that helps me achieve that: https://github.com/ar-nowaczynski/spaceopt
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?
optuna - A hyperparameter optimization framework
mango - Parallel Hyperparameter Tuning in Python
Spearmint - Spearmint Bayesian optimization codebase
pybobyqa - Python-based Derivative-Free Optimization with Bound Constraints
optuna-examples - Examples for https://github.com/optuna/optuna
opytimizer - 🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
OpenMetadata - Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
optimization-tutorial - Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
anovos - Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark