Jupyter Notebook · MIT
hamelsmu/code_search
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
★ 491
Stars
134 forks · 28 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
7.8
Momentum / 100
see the breakdown below
8y ago
Created
last push 3y 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 | 0.0 | last push 3y ago; decays to zero at 180 days |
| Scale | 15 | 7.8 | 491 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 7.8 | sum of the above |
Detail
| Topics | code-searchdata-sciencedeep-learningfastaikerasmachine-learningmachine-learning-on-source-codeml-on-codenatural-language-processingnlppythonpytorchsearchsearch-algorithmsearching-algorithmssemantic-searchsemantic-search-enginetensorflowtutorial |
| Matched on | RAG (semantic-search) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +0 stars over 26 days = 0.0/day |
| Lifetime average | 0.16 stars/day over 3,104 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |