HC
tysam-code/hlb-CIFAR10
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
1.3k 80 +0/wk
GitHub
cifar10 deep-learning experimentation language-models-are-next machine-learning neural-network responsive-to-issue-tickets speedyconvnet7-1-0 world-record
Trend
0
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
tysam-code/hlb-CIFAR10 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 | hlb-CIFAR10 | armnn | intro_dgm | Mish |
|---|---|---|---|---|
| Stars | 1.3k | 1.3k | 1.3k | 1.3k |
| Forks | 80 | 327 | 203 | 128 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | C++ | Jupyter Notebook | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | MIT |
Capability Radar vs armnn
hlb-CIFAR10
armnn
Maintenance Activity 0
Last code push 477 days ago.
Community Engagement 31
Fork-to-star ratio: 6.2%. Lower fork ratio may indicate passive usage.
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.