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README.md

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# MLflow-JS
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# MLflow-JS
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Is a free open-source software developed by Kyler Chiago, Austin Fraser, Staphanie Ho, Winston Ludlam, and Yiqun Zheng. This software is designed to help users track and manage their machine learning models. It is a web-based application that allows users to log their models, parameters, and metrics. Users can also compare models and share their results with others. MLflow-JS is built on top of MLflow, an open-source platform developed by Databricks. MLflow-JS is designed to be easy to use and flexible, allowing users to customize their workflows to suit their needs. The software is written in JavaScript and is compatible with most modern web browsers. It is available for free download on GitHub.
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## License
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This product is released under the MIT License. For more information, see the [LICENSE](./license.md) file.

license.md

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# Released under MIT License
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Copyright (c) 2024 K. Chiago, A. Fraser, S. Ho, W. Ludlam, Y. Zheng.
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Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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