DE
MTG/DeepConvSep
Deep Convolutional Neural Networks for Musical Source Separation
483 109 +0/wk
GitHub
audio-synthesis convolutional-neural-networks data-augmentation data-generation deep-learning sample-querying score-synthesis signal-processing source-separation theano
Trend
0
Star & Fork Trend (22 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
MTG/DeepConvSep has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | DeepConvSep | RUL | Deep-learning-in-PHM | deep-learning-traffic-lights |
|---|---|---|---|---|
| Stars | 483 | 483 | 483 | 482 |
| Forks | 109 | 80 | 101 | 160 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | N/A | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | AGPL-3.0 | N/A | MIT | BSD-2-Clause |
Capability Radar vs RUL
DeepConvSep
RUL
Maintenance Activity 0
Last code push 2260 days ago.
Community Engagement 100
Fork-to-star ratio: 22.6%. 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 70
Licensed under AGPL-3.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.