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ModSSC\n\n[![Stars](https://img.shields.io/github/stars/ModSSC/ModSSC?style=for-the-badge\u0026label=stars\u0026color=0B3D91\u0026labelColor=0B2D5E)](https://github.com/ModSSC/ModSSC/stargazers)\n[![Downloads](https://img.shields.io/pepy/dt/modssc?style=for-the-badge\u0026label=downloads\u0026logo=python\u0026labelColor=0B2D5E\u0026color=0B3D91)](https://pepy.tech/projects/modssc)\n[![PyPI](https://img.shields.io/pypi/v/modssc?style=for-the-badge\u0026label=pypi\u0026color=0B3D91\u0026labelColor=0B2D5E)](https://pypi.org/project/modssc/)\n[![codecov](https://img.shields.io/codecov/c/github/ModSSC/ModSSC?token=5S1R9H5L8G\u0026style=for-the-badge\u0026label=coverage\u0026color=0B3D91\u0026labelColor=0B2D5E)](https://codecov.io/gh/ModSSC/ModSSC)\n[![CI](https://img.shields.io/github/actions/workflow/status/ModSSC/ModSSC/ci.yml?branch=main\u0026style=for-the-badge\u0026label=ci\u0026color=0B3D91\u0026labelColor=0B2D5E)](https://github.com/ModSSC/ModSSC/actions/workflows/ci.yml)\n[![Docs](https://img.shields.io/github/actions/workflow/status/ModSSC/ModSSC/docs.yml?branch=main\u0026style=for-the-badge\u0026label=docs\u0026color=0B3D91\u0026labelColor=0B2D5E)](https://github.com/ModSSC/ModSSC/actions/workflows/docs.yml)\n\n\nModSSC is a modular framework for semi-supervised classification across heterogeneous\nmodalities (text, vision, tabular, graph, audio). It is designed for academic research with\nreproducible pipelines and extensible method registries.\n\n## Resources\n\nPick the path that fits your goal: learn the concepts, run examples, or dive into the research.\n\n### Docs and reference\n\n- **Documentation**: [overview and concepts](https://modssc.github.io/ModSSC).\n- **Choose your path**: [pick the right entrypoint](https://modssc.github.io/ModSSC/getting-started/choose-your-path).\n- **Getting started**: [install and first run](https://modssc.github.io/ModSSC/getting-started/installation).\n- **Extras and platforms**: [choose optional dependencies](https://modssc.github.io/ModSSC/getting-started/extras-and-platforms).\n- **CLI and API reference**: [full command and API list](https://modssc.github.io/ModSSC/reference/cli).\n- **Troubleshooting**: [common failures and fixes](https://modssc.github.io/ModSSC/how-to/troubleshooting).\n\nIf you use benchmark configs with environment placeholders, set `MODSSC_OUTPUT_DIR`, `MODSSC_DATASET_CACHE_DIR`, and `MODSSC_PREPROCESS_CACHE_DIR` before running. See the [Configuration reference](https://modssc.github.io/ModSSC/reference/configuration) for examples.\n\n### Examples\n\n- **Examples**: small scripts in [examples/](examples/).\n- **Notebooks**: interactive demos in [notebooks/](notebooks/).\n- **Examples guide**: [script index and recommendations](https://modssc.github.io/ModSSC/examples/).\n- **Notebook tour**: [interactive entrypoints by topic](https://modssc.github.io/ModSSC/notebooks/).\n\n### Research and articles\n\n- **Paper (arXiv)**: [research reference](https://arxiv.org/abs/2512.13228).\n- **Articles (Medium)**: [deeper explanations](https://medium.com/@melvin.barbaux).\n\n## Citation\n\nIf you use ModSSC in research, please cite:\n\n```bibtex\n@misc{barbaux2025modsscmodularframeworksemisupervised,\n      title={ModSSC: A Modular Framework for Semi-Supervised Classification on Heterogeneous Data},\n      author={Melvin Barbaux},\n      year={2025},\n      eprint={2512.13228},\n      archivePrefix={arXiv},\n      primaryClass={cs.LG},\n      url={https://arxiv.org/abs/2512.13228},\n}\n```\n\n## Contributing\n\nIf this work resonates with you, feel free to give the project a star on GitHub, fork it\nto experiment on your own data, or jump in and contribute. Issues, discussions, and pull\nrequests are more than welcome.\n\nYou can also start a discussion on\n[GitHub Discussions](https://github.com/ModSSC/ModSSC/discussions).\n\n## License\n\n```\nMIT License\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmodssc%2Fmodssc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmodssc%2Fmodssc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmodssc%2Fmodssc/lists"}