cereja-ai


Namecereja-ai JSON
Version 0.0.5 PyPI version JSON
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SummaryCereja-AI is a lib that makes available AI model architectures and pre-trained models for diverse usage.
upload_time2023-04-03 07:26:24
maintainer
docs_urlNone
author
requires_python>=3.6
licenseMIT License Copyright (c) 2023 Cereja 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: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. 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.
keywords tensorflow keras models
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            # Cereja AI - Library of Pre-Trained Artificial Intelligence Models

## Description
This repository is an open source library that contains pre-trained models and artificial intelligence architectures using TensorFlow. The purpose of this library is to facilitate the construction of AI models for the developer community, making the process more accessible and democratic.

By contributing to this library, you are helping to democratize access to AI, enabling more people to build efficient and accurate AI models. Furthermore, your contribution can be used in a variety of different projects, from voice recognition applications to product recommendation systems.

## How to Contribute
If you are knowledgeable about AI and TensorFlow, contributing to this library can be a way to help the developer community speed up the process of building AI models. Even if you don't have AI experience, you can still contribute by providing support with documentation or building the library's infrastructure.

To contribute to this library, follow these steps:
1. Fork this repository
2. Create a branch with your contribution (`git checkout -b my-contribution`)
3. Make the necessary changes
4. Submit a pull request

## How to use
To use this library in your project, just clone this repository on your machine and import the desired models or architectures. Check the documentation for more information on how to use each model or architecture.

## Documentation
The documentation for this library is available at [LINK].

            

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