Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch (by automl)
StoRM
A neural network hyper parameter tuner (by ben-arnao)
| Auto-PyTorch | StoRM | |
|---|---|---|
| 4 | 4 | |
| 2,282 | 26 | |
| 1.0% | - | |
| 0.0 | 3.5 | |
| 25 days ago | 4 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
Auto-PyTorch
Posts with mentions or reviews of Auto-PyTorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-09.
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[Project] AMLTK: A framework for building your own AutoML (AutoSklearn authors)
We took some of the lessons learned while building AutoSklearn and AutoPytorch, the good, the bad and the ugly and made a library that to enable the next generation of open-source AutoML tools, to allow them to be research-able but also efficient and scalable. We have some future plans and on-going work with this and we'd like to gather any feedback the community might have!
- What are sota hyperparameter optimization methods?
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A question for any AI programmers
Well it seems so, yes. Take a look here.
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What free AutoML library do you recommend?
For more information, you can checkout the github page AutoPytorch. Disclaimer: its under development and there can be potentially many undiscovered bugs which we will be happy to resolve as quick as possible. I recommend using the development branch which is a complete overhaul of the library from scratch.
StoRM
Posts with mentions or reviews of StoRM.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-19.
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What are sota hyperparameter optimization methods?
You can try out Storm tuner- https://github.com/ben-arnao/StoRM. It is a simple tuner I've created to overcome what I felt like were a lot of the short comings I've encountered with other tuners (too many hyper parameters of the tuner itself/not very easy to use, not good for all use cases, poor performance in general, etc.)
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Which parameter tuning library to use?
If you're interested I created a tuning library as well- https://github.com/ben-arnao/StoRM
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How to automate hyperparameter tuning?
I made my own tuner if you want to check it out- https://github.com/ben-arnao/StoRM
- [P] StoRM: Mutation-based hyperparameter tuner
What are some alternatives?
When comparing Auto-PyTorch and StoRM you can also consider the following projects:
auto-sklearn - Automated Machine Learning with scikit-learn
hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python
autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon]
lightning-flash - Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
carefree-learn - Deep Learning ❤️ PyTorch
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
autogluon - Fast and Accurate ML in 3 Lines of Code