Jupyter Notebook · Apache-2.0
NVIDIA/GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
★ 4.2k
Stars
1.1k forks · 85 open issues
+5.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
26.6
Momentum / 100
see the breakdown below
3y ago
Created
last push 59d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 4.5 | +5.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 1.4 | last week ran 1.09× the monthly pace |
| Freshness | 15 | 10.3 | last push 59d ago; decays to zero at 180 days |
| Scale | 15 | 10.5 | 4.2k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 26.6 | sum of the above |
Detail
| Topics | gpu-accelerationlarge-language-modelsllmllm-inferencemicroservicenemoragretrieval-augmented-generationtensorrttriton-inference-server |
| Matched on | RAG (retrieval-augmented-generation) LLM & Inference (large-language-models, llm-inference) |
| Short window | +5 stars over 7 days = 0.7/day |
| Long window | +17 stars over 26 days = 0.7/day |
| Lifetime average | 3.79 stars/day over 1,113 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |