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fragile-0.0.9
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تبلیغات ما
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مشاهده بیشترتوضیحات
Framework for developing FractalAI based algorithms.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | fragile-0.0.9 |
| نام | fragile |
| نسخه کتابخانه | 0.0.9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Guillem Duran Ballester |
| ایمیل نویسنده | info@fragile.tech |
| آدرس صفحه اصلی | https://github.com/FragileTech/fragile |
| آدرس اینترنتی | https://pypi.org/project/fragile/ |
| مجوز | MIT |
# Fragile
[](https://fragile.readthedocs.io/en/latest/?badge=latest)
[](https://codecov.io/github/FragileTech/fragile)
[](https://pypi.org/project/fragile/)
[](https://hub.docker.com/r/fragiletech/fragile/tags)
[](https://github.com/ambv/black)
[](https://opensource.org/licenses/MIT)
Fragile is a framework for developing optimization algorithms inspired by Fractal AI and running them at scale.
## Features
- Provides classes and an API for easily developing planning algorithms
- Provides an classes and an API for function optimization
- Build in visualizations of the sampling process
- Fully documented and tested (In progress)
- Support for parallelization and distributed search processes (In progress)
## About FractalAI
FractalAI is based on the framework of [non-equilibrium thermodynamics](https://en.wikipedia.org/wiki/Non-equilibrium_thermodynamics), and can be used to derive new mathematical tools for efficiently exploring state spaces.
The principles of our work are accessible online:
- [Arxiv](https://arxiv.org/abs/1803.05049) manuscript describing the fundamental principles of our work.
- [Blog](http://entropicai.blogspot.com) that describes our early research process.
- [Youtube channel](https://www.youtube.com/user/finaysergio/videos) with videos showing how different prototypes work.
- [GitHub repository](https://github.com/FragileTech/FractalAI) containing a prototype that solves most Atari games.
## Getting started
Check out the [getting started](https://fragile.readthedocs.io/en/latest/resources/examples/01_getting_started.html)
section of the docs, or the [examples](https://github.com/FragileTech/fragile/tree/master/examples) folder.
## Running in docker
The fragile docker container will execute a Jupyter notebook accessible on port 8080 with password: `fragile`
You can pull a docker image from Docker Hub running:
```bash
docker pull fragiletech/fragile:version-tag
```
Where version-tag corresponds to the fragile version that will be installed in the pulled image.
## Installation
This framework has been tested in Ubuntu 18.04 and supports Python 3.8 and 3.9.
If you find any problems running it in a different OS or Python version please open an issue.
It can be installed with `pip install fragile["all"]`.
You can find the pinned versions of the minimum requirements to install the core module in `requirements.txt`,
and the pinned versions of all the optional requirements in `requirements-all.txt`.
Detailed installation instructions can be found in the [docs](https://fragile.readthedocs.io/en/latest/resources/installation.html).
## Documentation
You can access the documentation on [Read The Docs](https://fragile.readthedocs.io/en/latest/).
## Roadmap
Upcoming features: _(not necessarily in order)_
- Fix documentation and add examples for the `distributed` module
- Upload Montezuma solver
- Add new algorithms to sample different state spaces.
- Add a benchmarking module
- Add deep learning API
## Contributing
Contribution are welcome. Please take a look at [contributining](docsrc/markdown/CONTRIBUTING.md)
and respect the [code of conduct](docsrc/markdown/CODE_OF_CONDUCT.md).
## Cite us
If you use this framework in your research please cite us as:
@misc{1803.05049,
Author = {Sergio Hernández Cerezo and Guillem Duran Ballester},
Title = {Fractal AI: A fragile theory of intelligence},
Year = {2018},
Eprint = {arXiv:1803.05049},
}
## License
This project is MIT licensed. See `LICENSE.md` for the complete text.
نیازمندی
| مقدار | نام |
|---|---|
| - | einops |
| - | flogging |
| >=0.0.15 | judo |
| - | networkx |
| - | numba |
| - | scipy |
| >=0.0.31 | plangym |
| - | tqdm |
| ==0.1.1 | atari-py |
| - | opencv-python |
| ==0.17.3 | gym |
| - | pillow-simd |
| >=0.0.31 | plangym |
| ==3.7.1 | matplotlib |
| ==2.4.0 | bokeh |
| ==1.5.3 | pandas |
| ==0.14.4 | panel |
| - | holoviews |
| - | hvplot |
| - | plotly |
| - | streamz |
| - | param |
| - | selenium |
| - | pyarrow |
| ==6.2.5 | pytest |
| ==3.0.0 | pytest-cov |
| ==2.4.0 | pytest-xdist |
| ==10.2 | pytest-rerunfailures |
| ==6.24.6 | hypothesis |
| >=1.0.1.post1 | ray |
| - | setproctitle |
| ==0.1.1 | atari-py |
| - | opencv-python |
| ==0.17.3 | gym |
| - | pillow-simd |
| >=0.0.31 | plangym |
| ==3.7.1 | matplotlib |
| ==2.4.0 | bokeh |
| ==1.5.3 | pandas |
| ==0.14.4 | panel |
| - | holoviews |
| - | hvplot |
| - | plotly |
| - | streamz |
| - | param |
| - | selenium |
| - | pyarrow |
| >=1.0.1.post1 | ray |
| - | setproctitle |
| ==6.2.5 | pytest |
| ==3.0.0 | pytest-cov |
| ==2.4.0 | pytest-xdist |
| ==10.2 | pytest-rerunfailures |
| ==6.24.6 | hypothesis |
نحوه نصب
نصب پکیج whl fragile-0.0.9:
pip install fragile-0.0.9.whl
نصب پکیج tar.gz fragile-0.0.9:
pip install fragile-0.0.9.tar.gz