GitHub intelligence
MilaNLProc/
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.).
Observed OCT 8, 2026 · 00:08 UTC
Facts
- Language
- Python
- License
- mit
- Created
- APR 4, 2020
- Last push
- Last release
- None recorded
Measurements
- Stars
- 1,273
- Forks
- 155
- 7D change
- Collectingfrom OCT 9
- 30D change
- Collectingfrom NOV 1
- 90D change
- Collectingfrom DEC 31
- Velocity
- Collectingfrom OCT 16
- Acceleration
- Collectingfrom OCT 23
- Trajectory
- Collectingfrom OCT 16
- Trending percentile
- Collectingfrom OCT 16
Categories
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Technologies
Not linked to any curated technology.
Star history
Daily history began OCT 2. The chart appears after 7 days. 1 observed day shown.
Observed days (1)
| Day | Stars | Forks |
|---|---|---|
| OCT 2 | 1,273 | 155 |