SiaNet
An easy-to-use C# deep learning library with support for multiple backends including TensorFlow, PyTorch, and CUDA/OpenCL.
What is SiaNet?
SiaNet is a C# deep learning library that provides a high-level wrapper for creating and training deep neural network models. It enables .NET developers to leverage popular backends like TensorFlow, PyTorch, and CNTK with minimal setup, solving the problem of fragmented deep learning tooling in the C# ecosystem.
C# developers, researchers, and data scientists who want to build and train deep learning models within the .NET environment without switching to Python-based tools.
Developers choose SiaNet for its simplicity, multi-backend flexibility, and native C# integration, allowing them to stay in their preferred language while accessing cutting-edge deep learning frameworks.
Overview
An easy to use C# deep learning library with CUDA/OpenCL support
Use Cases
Best For
- Building deep learning models entirely in C# without Python dependencies
- Experimenting with neural networks using multiple backend engines (TensorFlow, PyTorch, etc.)
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