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[Introduction](#introduction)\n  - [References](#references)\n  \u003c!--toc:end--\u003e\n\n## Introduction\n\nThis project is my exploration into flow matching\nalgorithms using `tinygrad` library instead of traditional\n`pytorch` implementations.\nThis is a learning experience for\nunderstanding both the flow matching and the library.\n\n## Running the Code\n\nI highly recommend using [`uv` tool](https://github.com/astral-sh/uv) to run this project.\n\n```python\nuv run example.py\n```\n\n## To-Do\n\nTime permitting, I plan to add the following implementations:\n\n- [x] more path objects\n\n- [ ] non-euclidean flow matching\n\n- [ ] discrete flow matching\n\n## References\n\n- [Flow Matching for Generative Modeling](https://arxiv.org/pdf/2210.02747)\n- [Flow Matching Guide and Code](https://arxiv.org/pdf/2412.06264)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Filiailmer%2Ftinyflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Filiailmer%2Ftinyflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Filiailmer%2Ftinyflow/lists"}