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align=\"center\"\u003e\n    \u003cimg src=\"docs/activfs.png\" width=\"500px\"\u003e\n\u003c/p\u003e\n\n# ⚡ Positron\n\n[![Project Status](https://img.shields.io/badge/status-active-brightgreen.svg)](https://github.com/MartinKondor/positron/)\n[![version](https://img.shields.io/badge/version-v1.1-brightgreen.svg)](https://github.com/MartinKondor/positron)\n[![GitHub Issues](https://img.shields.io/github/issues/MartinKondor/positron.svg)](https://github.com/MartinKondor/positron/issues)\n![Contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg)\n[![License](https://img.shields.io/badge/license-BSD-brightgreen.svg)](https://opensource.org/licenses/BSD)\n\nBlazingly fast Deep Learning library for Python.\n\nThe main focuses of Positron are\n* Speed\n* Functionality\n* Scalability\n* Understandability\n\n_There is a [Medium Article](https://martinkondor.medium.com/positron-linear-algebra-library-for-python-8a3c5c3e1c00) written about this library, make sure to check it out!_\n\n## Features\n\n| File      | Description |\n| --------- | ----------- |\n| **example.py**      | **A simple neural network adaptation** working with this library.       |\n| **deep.py**      | **Deep Learning** learning related functions: feedforward, backprop etc.       |\n| **activ.py**      | Common Deep Learning **Activation Functions**.       |\n| **maths.py**      | **Matrix operations**: inverse, determinant, adjungate etc.       |\n| **prep.py**      | **Data Preprocessing Functions**: time stamp to date, date to time stamp etc.        |\n| **loss.py**     | **Loss/cost Functions** and their derivatives: residual sum of squares, mean absolute error etc.        |\n\n## Getting Started\n\n### Prerequisites\n\n* Python 3.8+\n* Anaconda 4.9.2+ (optional)\n* Python modules from the [requirements.txt](./requirements.txt) file\n\n### Dependencies\n\nFor the dependencies, see the contents of the [requirements.txt](./requirements.txt) file, also let's note here that:\n\n*This library should and never will depend on an other ML/DL library (like **keras**, **tensorflow** etc.), not even on **scikit-learn**.*\n\n## Tests\n\nTo run tests on a file, run the test module directly, for example:\n\n```$ python -m tests.loss```\n\nWill test the ```positron/loss.py``` file.\n\n### Examples\n\nYou can try to run an example file to see the library in work:\n\n```$ python -m positron.loss```\n\n## Contributing\n\nThis project is open for any kind of contribution from anyone.\n\n### Steps\n\n1. Fork this repository\n2. Create a new branch (optional)\n3. Clone it\n4. Make your changes\n5. Upload them\n\n(5+1). Make a pull request here\n\n## Authors\n\n* **[Martin Kondor](https://github.com/MartinKondor)**\n\n## License \n\nCopyright \u0026copy; 2022 Martin Kondor.\n\nSee the [LICENSE](./LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMartinKondor%2Fpositron","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FMartinKondor%2Fpositron","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMartinKondor%2Fpositron/lists"}