Python · BSD-3-Clause
ddangelov/Top2Vec
Top2Vec learns jointly embedded topic, document and word vectors.
★ 3.1k
Stars
370 forks · 84 open issues
+2.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
27.2
Momentum / 100
see the breakdown below
6y ago
Created
last push 24mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 2.1 | +2.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 15.0 | last week ran 2.48× the monthly pace |
| Freshness | 15 | 0.0 | last push 24mo ago; decays to zero at 180 days |
| Scale | 15 | 10.1 | 3.1k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 27.2 | sum of the above |
Detail
| Topics | bertdocument-embeddingpre-trained-language-modelssemantic-searchsentence-encodersentence-transformerstext-searchtext-semantic-similaritytop2vectopic-modelingtopic-modellingtopic-searchtopic-vectorword-embeddings |
| Matched on | RAG (semantic-search) |
| Short window | +2 stars over 7 days = 0.3/day |
| Long window | +3 stars over 26 days = 0.1/day |
| Lifetime average | 1.29 stars/day over 2,421 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |