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This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is

License: MIT License

C++ 3.26% Python 45.89% Cuda 50.45% Dockerfile 0.39%

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amyreese avatar bilgeacun avatar chenxing1999 avatar cx-yin avatar facebook-github-bot avatar gandalf2390 avatar glennq avatar shintaro-iwasaki avatar zsol avatar

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