ID
jmtomczak/intro_dgm
"Deep Generative Modeling": Introductory Examples
1.3k 203 +0/wk
GitHub
autoregressive-modeling deep-generative-modelling deep-learning energy-based-model flow-based-modeling generative-adversarial-network generative-ai neural-compression pytorch score-based-generative-modeling variational-autoencoder
Trend
0
Star & Fork Trend (35 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
jmtomczak/intro_dgm has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | intro_dgm | armnn | hlb-CIFAR10 | awesome-face |
|---|---|---|---|---|
| Stars | 1.3k | 1.3k | 1.3k | 1.3k |
| Forks | 203 | 327 | 80 | 212 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | C++ | Python | HTML |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs armnn
intro_dgm
armnn
Maintenance Activity 86
Last code push 31 days ago.
Community Engagement 78
Fork-to-star ratio: 15.6%. 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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.