15 packages returned for Tags:"SciSharp"

Google's TensorFlow full binding in .NET Standard. Building, training and infering deep learning models. https://tensorflownet.readthedocs.io

NumSharp is the fundamental library for scientific computing with .NET providing a similar API to python's numpy scientific library. NumSharp has full N-D, broadcasting and axis support. If you want to use... More information

NumSharp.Lite is the compact version of NumSharp without full datatype supported.

The .NET binding of LLama.cpp, making LLM inference and deployment easy and fast. For model weights to run, please go to https://github.com/SciSharp/LLamaSharp for more information.

TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models.

LLamaSharp.Backend.Cuda11 is a backend for LLamaSharp to use with Cuda11.

This package provides extensions for System.Drawing.Bitmap for creating NDArray and Bitmap with or without copying.

LLamaSharp.Backend.Cpu is a backend for LLamaSharp to use with Cpu only.

Google's TensorFlow full binding in .NET Standard. Building, training and infering deep learning models. https://tensorflownet.readthedocs.io

LLamaSharp.Backend.Cuda12 is a backend for LLamaSharp to use with Cuda12.

The integration of LLamaSharp and Microsoft semantic-kernel.

LLamaSharp.Backend.MacMetal is a backend for LLamaSharp to use MAC with GPU support.

The .NET binding of LLama.cpp, providing APIs to run the model and deploy it on Web. For model weights to run, please go to https://github.com/SciSharp/LLamaSharp for more information.

The .NET binding of llama.cpp, providing APIs to run the model and deploy it on Web.

The integration of LLamaSharp and Microsoft kernel-memory. It could make it easy to support document search for LLamaSharp model inference.