Factorized-TDNN

Factorized-TDNN

cvqluu

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

neural-network
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149 Stars
34 Forks
149 Watchers
Python Language
mit License
100 SrcLog Score
Cost to Build
$13.7K
Market Value
$25.3K
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Growth over time

8 data points  ·  2021-08-01 → 2026-04-01
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What is the cvqluu/Factorized-TDNN GitHub project? Description: "PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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