GitHub - pytorch/torchrec: Pytorch domain library for recommendation systems

Parallelism primitives that enable easy authoring of large, performant multi-device/multi-node models using hybrid data-parallelism/model-parallelism. The TorchRec sharder can shard embedding tables with different sharding strategies including data-parallel, table-wise, row-wise, table-wise-row-wise, column-wise, table-wise-column-wise sharding. The TorchRec planner can automatically generate opti

[misshiki]

“TorchRecは、大規模なレコメンダーシステム（RecSys）に必要な一般的なスパース性と並列処理のプリミティブを提供するために構築されたPyTorchドメインライブラリです。”