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# tensorshare | ||
<h1 align="center">TensorShare</h1> | ||
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🤝 Trade any tensors over the network | ||
<div align="center"> | ||
<a href="https://pypi.org/project/tensorshare" target="_blank"> | ||
<img src="https://img.shields.io/pypi/v/tensorshare.svg" /> | ||
</a> | ||
<a href="https://pypi.org/project/tensorshare" target="_blank"> | ||
<img src="https://img.shields.io/pypi/pyversions/tensorshare" /> | ||
</a> | ||
<a href="https://github.com/chainyo/tensorshare/blob/main/LICENSE" target="_blank"> | ||
<img src="https://img.shields.io/pypi/l/tensorshare" /> | ||
</a> | ||
<a href="https://github.com/chainyo/tensorshare/actions?workflow=ci-cd" target="_blank"> | ||
<img src="https://github.com/chainyo/tensorshare/workflows/ci-cd/badge.svg" /> | ||
</a> | ||
<a href="https://github.com/pypa/hatch" target="_blank"> | ||
<img src="https://img.shields.io/badge/%F0%9F%A5%9A-Hatch-4051b5.svg" /> | ||
</a> | ||
</div> | ||
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__Work in progress__ | ||
<p align="center"><em>🤝 Trade any tensors over the network</em></p> | ||
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## Roadmap | ||
--- | ||
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TensorShare is a powerful tool enabling ⚡ lightning-fast tensor sharing across networks. | ||
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This project leverage the best open-source tools to provide a simple and easy-to-use interface for sharing tensors: | ||
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- [ ] Convertion from one framework to safetensors | ||
* [ ] PyTorch | ||
* [ ] TensorFlow | ||
* [ ] JAX | ||
* [ ] NumPy | ||
* [ ] PadddlePaddle | ||
* [safetensors](https://github.com/huggingface/safetensors) for secure tensor serialization and deserialization. | ||
* [pydantic](https://github.com/pydantic/pydantic) for data validation and settings management. | ||
* [fastapi](https://github.com/tiangolo/fastapi) for building APIs (and because it's too good to avoid it). | ||
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__This project is heavily in development and is not ready for production use.__ | ||
__Feel free to contribute to the project by opening issues and pull requests.__ | ||
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## Roadmap | ||
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- [x] Convert functions from one framework to safetensors | ||
- [ ] Convert factory class for transparent usage | ||
- [ ] Pydantic schema for sharing tensors | ||
- [ ] Server for sharing tensors | ||
- [ ] Client for sharing tensors |
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