Balík: python3-torch-geometric (2.6.1-7)

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Externé zdroje:

Domovská stránka [github.com]

Podobné balíky:

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.

Ostatné balíky súvisiace s balíkom python3-torch-geometric

závisí

odporúča

navrhuje

vylepšuje

dep: python3

interactive high-level object-oriented language (default python3 version)
dep: python3-aiohttp

klient/server HTTP pre asyncio
dep: python3-fsspec

specification that Python filesystems should adhere to (Python 3)
dep: python3-jinja2

malé, ale rýchle a jednoducho použiteľné samostatné šablónovacie jadro
dep: python3-numpy

Python library for numerical computations (Python 3)
dep: python3-psutil

modul poskytujúci funkcie uľahčujúce správu procesov (Python 3)
dep: python3-pyparsing

alternatíva k tvorbe a spúšťaniu jednoduchých gramatík - Python 3.x
dep: python3-requests

elegantná a jednoduchá knižnica HTTP pre Python 3 pre ľudí
dep: python3-tqdm

fast, extensible progress bar for Python 3 and CLI tool

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