Pakket: python3-torch-geometric (2.4.0-2)
Verwijzigingen voor python3-torch-geometric
Debian bronnen:
Het bronpakket pytorch-geometric downloaden:
- [pytorch-geometric_2.4.0-2.dsc]
- [pytorch-geometric_2.4.0.orig.tar.gz]
- [pytorch-geometric_2.4.0-2.debian.tar.xz]
Beheerders:
Externe bronnen:
- Homepage [github.com]
Vergelijkbare pakketten:
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.
Andere aan python3-torch-geometric gerelateerde pakketten
|
|
|
|
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
-
- dep: python3-jinja2
- small but fast and easy to use stand-alone template engine
-
- dep: python3-numpy
- Fast array facility to the Python language (Python 3)
-
- dep: python3-psutil
- module providing convenience functions for managing processes (Python3)
-
- dep: python3-pyparsing
- alternative to creating and executing simple grammars - Python 3.x
-
- dep: python3-requests
- elegant and simple HTTP library for Python3, built for human beings
-
- dep: python3-scipy
- scientific tools for Python 3
-
- dep: python3-sklearn
- Python modules for machine learning and data mining - Python 3
-
- dep: python3-tqdm
- fast, extensible progress bar for Python 3 and CLI tool