{"id":21232268,"url":"https://github.com/danibcorr/papers-with-code","last_synced_at":"2025-03-15T02:41:04.219Z","repository":{"id":271155898,"uuid":"912550320","full_name":"danibcorr/papers-with-code","owner":"danibcorr","description":"📃 This repository contains implementations of various scientific papers related to deep learning and machine learning. 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These implementations have either been developed by me or adapted from\nother repositories with additional changes or improvements. The aim is to consolidate the\nmost relevant and interesting implementations in one place.\n\nMost of the code is implemented using TensorFlow in conjunction with Keras, but there are\nplans to include implementations using PyTorch as well.\n\n## Features\n\nIn addition to categorizing implementations based on their respective publications, I've\nstrived to make this repository as simple and user-friendly as possible. Comprehensive\ndocumentation is available, which you can access\n[here](https://danibcorr.github.io/papers-with-code/).\n\n## Contributing\n\nWe welcome contributions to this repository! To facilitate the process of setting up and\ncontributing, a `Makefile` is provided for quick installation. Please follow the steps\nbelow to set up your environment:\n\n1. **Clone the Repository**\n\n   Begin by cloning the repository to your local machine:\n\n   ```bash\n   git clone https://github.com/your-username/repository-name.git\n   ```\n\n2. **Update System Packages and Install Dependencies**\n\n   For Linux users, update your system and install the necessary build tools. For\n   Ubuntu/Debian systems, use the following commands:\n\n   ```bash\n   sudo apt-get update\n   sudo apt-get install build-essential make\n   ```\n\n3. **Create and Activate a Virtual Python Environment**\n\n   It is recommended to use a virtual environment to manage project dependencies. The\n   steps may vary depending on your operating system, so please refer to appropriate\n   online resources for guidance.\n\n4. **Install Dependencies**\n\n   Once the virtual environment is activated, install all necessary dependencies by\n   executing:\n\n   ```bash\n   make install\n   ```\n\n   This command will automatically install all Python packages required for the project.\n\n## License\n\nThis project is licensed under the MIT License.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdanibcorr%2Fpapers-with-code","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdanibcorr%2Fpapers-with-code","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdanibcorr%2Fpapers-with-code/lists"}