
PyTorch Hub
Towards Reproducible Machine Learning
PyTorch Hub launched on June 10, 2019 with 3 votes.
What it does
PyTorch Hub: a simple API and workflow that provides the basic building blocks for improving machine learning research reproducibility. PyTorch Hub consists of a pre-trained model repository designed specifically to facilitate research reproducibility.
Does a similar job
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Hello HN, We are pleased to introduce you graphlearn-for-pytorch (https://github.com/alibaba/graphlearn-for-pytorch), an open-source distributed graph neural network library based on PyTorch and compatible with PyG. Our library is designed to make it easy for developers to build and train large-scale graph models in a distributed environment. With graphlearn-for-pytorch, you can leverage GPUs to accelerate graph sampling and utilize UVA to reduce the overheads of feature collection. Following a scalable design, graphlearn-for-pytorch supports training GNN models on…




- MLMachine Learning on Spatiotemporal Data – PyTorch Geometric Temporal2021 · github.com · ▲10
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