neural-topic-models topic
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.).
OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
NQTM
Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder (EMNLP2020).
TopMost
A Topic Modeling System Toolkit
Paper-Neural-Topic-Models
Papers of Neural Topic Models (NTMs)
ECRTM
Code for Effective Neural Topic Modeling with Embedding Clustering Regularization (ICML2023)
ANTM
Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to compute clusters of semantically similar documents at differen...
STREAM
A versatile Python package engineered for seamless topic modeling, topic evaluation, and topic visualization. Ideal for text analysis, natural language processing (NLP), and research in the social sci...
FASTopic
A Fast, Adaptive, Stable, and Transferable Topic Model