AA
D-X-Y/Awesome-AutoDL
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
2.3k 320 +0/wk
GitHub
autodl automl awesome deep-learning hyper-parameter-optimization nas neural-architecture-search
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
D-X-Y/Awesome-AutoDL has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Awesome-AutoDL | axlearn | PPO-PyTorch | ailia-models |
|---|---|---|---|---|
| Stars | 2.3k | 2.3k | 2.3k | 2.3k |
| Forks | 320 | 402 | 424 | 358 |
| Weekly Growth | +0 | -1 | +1 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | N/A |
Capability Radar vs axlearn
Awesome-AutoDL
axlearn
Maintenance Activity 0
Last code push 1291 days ago.
Community Engagement 68
Fork-to-star ratio: 13.7%. 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.