Paket: python3-torch-geometric (2.4.0-2)

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pytorch-geometric Kaynak Paketini İndir:

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Dış Kaynaklar:

Ana Sayfa [github.com]

Benzer paketler:

Graph Neural Network Library for PyTorch

PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.

It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds.

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Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
all	495,3 kB	3.600,0 kB	[dosya listesi]