OP
NVIDIA/OpenSeq2Seq
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
1.6k 371 +0/wk
GitHub
deep-learning float16 language-model mixed-precision multi-gpu multi-node neural-machine-translation seq2seq sequence-to-sequence speech-recognition speech-synthesis speech-to-text
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0
Star & Fork Trend (19 data points)
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NVIDIA/OpenSeq2Seq has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | OpenSeq2Seq | ghost | Awesome-Implicit-NeRF-Robotics | torchdyn |
|---|---|---|---|---|
| Stars | 1.6k | 1.6k | 1.6k | 1.6k |
| Forks | 371 | 307 | 97 | 133 |
| Weekly Growth | +0 | +0 | +0 | +1 |
| Language | Python | Python | N/A | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | N/A | Apache-2.0 |
Capability Radar vs ghost
OpenSeq2Seq
ghost
Maintenance Activity 0
Last code push 1793 days ago.
Community Engagement 100
Fork-to-star ratio: 23.8%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.