Contextualized Topic Models
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.).
About
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.).
Open Source Health
- Stars
- 1,272
- Forks
- 155
- License
- MIT
- Last commit
- 1 years ago
Resources & Links
Related Categories
Vendor
MilaNLP
Open-source project on GitHub: Contextualized Topic Models
Quick Links
Open Source
Stars
1.3K
Forks
155
Contributors
0
Open Issues
11
Related Products
Turbovec
A vector index built on TurboQuant, written in Rust with Python bindings
Top category match
NGT
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
Top category match
Chromem Go
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Top category match
Vecs
Postgres/pgvector Python Client
Top category match
Keras-TextClassification
Macropodus擅长自然语言处理,深度学习与tensorflow,LLM,等方面的知识,Macropodus关注机器翻译,神经网络,知识图谱,语音识别,排序算法,推荐算法,tensorflow,语言模型,nlp,机器学习,人工智能,pytorch,自然语言处理,数据挖掘,分类领域.
Top category match