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Tool profile

MilaNLProc/contextualized-topic-models

dying
Stale

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

bertembeddingsmultilingual-modelsmultilingual-topic-modelsneural-topic-modelsnlpnlp-librarynlp-machine-learning
Velocity score
0.00/ 10
[STARS]
1.3k
[FORKS]
152
[CONTRIBUTORS]
14
[LAST_COMMIT]
10mo ago
OPEN_ON_GITHUB
Velocity class: dying
Is MilaNLProc/contextualized-topic-models still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
359/ 1000
other · MilaNLProc/contextualized-topic-models
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
313
[INSTALL_VEL]
500
[ACTIVITY]
123
[COMMUNITY_SIGNAL]
689

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

LIVE──────── · ──:──:── UTCabout