NVIDIA-NeMo/Speech
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
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SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #63 among AI repositories tracked this week, and #63 over the last 30 days; #358 of 3,103 repositories GStars tracks this week (top 12%).
1 release in the last 90 days, the latest 78 days ago, with 400 contributors on GitHub.
The biggest single-day gain in the last year, +98 stars on Aug 7, coincided with release v3.0.0.
Use Cases & Benefits
- Provides a scalable generative AI framework for developing Large Language Models, Multimodal, and Speech AI including ASR and TTS.
- Enables efficient training, customization, and deployment of state-of-the-art AI models with modular Python-based configuration and multi-GPU scalability.
- Use for building and fine-tuning large-scale speech recognition and text-to-speech models with optimized inference performance.
- Use for developing and training multimodal generative AI models combining text, speech, and vision data for advanced AI applications.
- Use for accelerating distributed training of large language models on cloud or on-premises clusters with support for advanced parallelism techniques.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
NVIDIA NeMo Framework is a scalable and cloud-native generative AI framework built for researchers and PyTorch developers working on Large Language Models (LLMs), Multimodal Models (MMs), Automatic Speech Recognition (ASR), Text to Speech (TTS), and Computer Vision (CV) domains. It is designed to help you efficiently create, customize, and deploy new generative AI models by leveraging existing code and pre-trained model checkpoints.
For technical documentation, please see the NeMo Framework User Guide.
NVIDIA NeMo 2.0 introduces several significant improvements over its predecessor, NeMo 1.0, enhancing flexibility, performance, and scalability.
Overall, these enhancements make NeMo 2.0 a powerful, scalable, and user-friendly framework for AI model development.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+789 stars over 89 days across 10 snapshot days; best day +98 on Aug 7.
Forks
3.7K+136
Open issues
393+163
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| storytold/artcraft | 35.6K | +6.7K | 75 | 26 days ago |
| heygen-com/hyperframes | 71.5K | +5.6K | 75 | today |
| Comfy-Org/ComfyUI | 142.6K | +4.5K | 75 | 5 days ago |
| Leonxlnx/taste-skill | 101.6K | +3.8K | 75 | 3 days ago |
| harry0703/MoneyPrinterTurbo | 134.2K | +2.9K | 75 | 1 day ago |
| NVIDIA-NeMo/Speech | 18.6K | +0 | 56 | 78 days ago |
| Category median | 101.6K | +4.5K | 75 | — |
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