Papers › NeMo: a toolkit for building AI applications using Neural Modules
NeMo: a toolkit for building AI applications using Neural Modules
Oleksii Kuchaiev, Jason Li, Huyen Nguyen, Oleksii Hrinchuk, Ryan Leary, Boris Ginsburg, Samuel Kriman, Stanislav Beliaev, Vitaly Lavrukhin, Jack Cook, Patrice Castonguay, Mariya Popova, Jocelyn Huang, Jonathan M. Cohen
NeMo (Neural Modules) is a Python framework-agnostic toolkit for creating AI applications through re-usability, abstraction, and composition. NeMo is built around neural modules, conceptual blocks of neural networks that take typed inputs and produce typed outputs. Such modules typically represent data layers, encoders, decoders, language models, loss functions, or methods of combining activations. NeMo makes it easy to combine and re-use these building blocks while providing a level of semantic correctness checking via its neural type system. The toolkit comes with extendable collections of pre-built modules for automatic speech recognition and natural language processing. Furthermore, NeMo provides built-in support for distributed training and mixed precision on latest NVIDIA GPUs. NeMo is open-source https://github.com/NVIDIA/NeMo
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Speech Recognition | Common Voice French | ConformerCTC-L (4-gram) | Test WER | 9.16% | #2 of 8 | Archive leaderboard | report |
| Speech Recognition | Common Voice French | ConformerCTC-L (no-LM) | Test WER | 9.63% | #4 of 8 | Archive leaderboard | report |
| Speech Recognition | Common Voice German | ConformerCTC-L (4-gram) | Test WER | 6.03% | #5 of 14 | Archive leaderboard | report |
| Speech Recognition | Common Voice German | ConformerCTC-L (no LM) | Test WER | 6.68% | #9 of 14 | Archive leaderboard | report |
| Speech Recognition | Common Voice Spanish | ConformerCTC-L (4-gram) | Test WER | 5.5% | #1 of 8 | Archive leaderboard | report |
| Speech Recognition | Common Voice Spanish | ConformerCTC-L (no LM) | Test WER | 6.9% | #4 of 8 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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