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Adding link to demos and library of VS models wiki #119

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Aug 7, 2024
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Adding link to demos and library of VS models wiki #119

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7 changes: 7 additions & 0 deletions README.md
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Expand Up @@ -109,3 +109,10 @@ for reading and writing data in [OME-Zarr](https://www.nature.com/articles/s4159
The full functionality is tested on Linux `x86_64` with NVIDIA Ampere GPUs (CUDA 12.4).
Some features (e.g. mixed precision and distributed training) may not be available with other setups,
see [PyTorch documentation](https://pytorch.org) for details.

### Demos
Check out our demos for:
- [Virtual staining](https://github.com/mehta-lab/VisCy/tree/main/examples/demos) - training, inference and evaluation

### Library of virtual staining (VS) models
The robust virtual staining models (i.e *VSCyto2D*, *VSCyto3D*, *VSNeuromast*), and fine-tuned models can be found [here](https://github.com/mehta-lab/VisCy/wiki/Library-of-virtual-staining-(VS)-Models)
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