{"id":14970750,"url":"https://github.com/miladsade96/diagtomodel","last_synced_at":"2025-07-08T18:09:05.719Z","repository":{"id":46220401,"uuid":"414655336","full_name":"miladsade96/diagtomodel","owner":"miladsade96","description":"Implementations of Artificial Neural Networks Based on their 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License](https://img.shields.io/apm/l/atomic-design-ui.svg?)](https://github.com/tterb/atomic-design-ui/blob/master/LICENSEs)\n[![CodeQL](https://github.com/EverLookNeverSee/diag2model/actions/workflows/codeql-analysis.yml/badge.svg)](https://github.com/EverLookNeverSee/diagtomodel/actions/workflows/codeql-analysis.yml)\n![GitHub language count](https://img.shields.io/github/languages/count/EverLookNeverSee/diagtomodel)\n![GitHub top language](https://img.shields.io/github/languages/top/EverLookNeverSee/diagtomodel)\n![GitHub code size in bytes](https://img.shields.io/github/languages/code-size/EverLookNeverSee/diagtomodel)\n![Lines of code](https://img.shields.io/tokei/lines/github/EverLookNeverSee/diagtomodel)\n![GitHub all releases](https://img.shields.io/github/downloads/EverLookNeverSee/diagtomodel/total)\n![GitHub issues](https://img.shields.io/github/issues-raw/EverLookNeverSee/diagtomodel)\n![GitHub pull requests](https://img.shields.io/github/issues-pr-raw/EverLookNeverSee/diagtomodel)\n![GitHub release (latest by date)](https://img.shields.io/github/v/release/EverLookNeverSee/diagtomodel)\n![GitHub contributors](https://img.shields.io/github/contributors/EverLookNeverSee/diagtomodel)\n![GitHub last commit](https://img.shields.io/github/last-commit/EverLookNeverSee/diagtomodel)\n\n### Implementations of Artificial Neural Networks Based on their Diagrams\n\n## Authors\n* Milad Sadeghi DM - [EverlookNeverSee@GitHub](https://github.com/EverLookNeverSee)\n* List of [all contributors](https://github.com/EverLookNeverSee/diagtomodel/graphs/contributors) to this repository\n\n## Implemented Models\n* [PLNet](diagtomodel/pl_net/pl_net.py) - Convolutional Neural Network with Parallel Layers\n* [MLANet](diagtomodel/mla_net/mla_net.py) - Convolutional Neural Network with Multiple Layer Additions\n* [LeNet-5](diagtomodel/lenet_5/lenet-5.py) - Gradient-Based Learning Applied to Document Recognition\n* [AlexNet](diagtomodel/alexnet/alexnet.py) - ImageNet Classification with Deep Convolutional\nNeural Networks\n* [VGG-16](diagtomodel/vgg_16/vgg-16.py) - Very Deep Convolutional Networks For Large Scale Image Recognition\n* [Inception-v1](diagtomodel/inception_v1/inception-v1.py) - Going Deeper With Convolutions\n* [Xception](diagtomodel/xception/xception.py) - Deep Learning with Depthwise Separable Convolutions\n\n\n## License\nThis project licensed under the MIT License - see the [LICENSE](LICENSE) file for more details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmiladsade96%2Fdiagtomodel","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmiladsade96%2Fdiagtomodel","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmiladsade96%2Fdiagtomodel/lists"}