C
wladimiravila/esp32s3-distributed-ai
Distributed 56M-parameter LLM inference across 3 ESP32-S3 boards via ESP-NOW , Split-PLE + KV cache, fully offline.
★ 113
Stars
15 forks · 2 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
12.8
Momentum / 100
see the breakdown below
3mo ago
Created
last push 3mo 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 | 6.8 | last push 3mo ago; decays to zero at 180 days |
| Scale | 15 | 6.0 | 113 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 12.8 | sum of the above |
Detail
| Topics | edge-aiedge-ai-engineeringedge-ai-modelsembeddedembedded-cembedded-systemsesp32esp32-s3esp32s3kvllmllm-inferenceondevice-aiondeviceaiondevicemachinelearningoptimizationquantilizationtransformertransformers |
| Matched on | LLM & Inference (llm-inference) Mechatronics (embedded, esp32) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +1 stars over 26 days = 0.0/day |
| Lifetime average | 1.15 stars/day over 98 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |