C++ · MIT
auralius/noodle
Noodle provides primitive modular functions for convolution layer, dense layer, pooling and activations. It allows streaming the intermediate activations, weights, and biases from/to SD/FFat/SD_MMC filesystems to overcome RAM limitations.
★ 170
Stars
6 forks · 0 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
21.2
Momentum / 100
see the breakdown below
9mo ago
Created
last push 6d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | flat, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 14.7 | last push 6d ago; decays to zero at 180 days |
| Scale | 15 | 6.5 | 170 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 21.2 | sum of the above |
Detail
| Topics | arduinocnnembedded-aiesp32lenet |
| Matched on | Mechatronics (esp32) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +0 stars over 26 days = 0.0/day |
| Lifetime average | 0.59 stars/day over 288 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |