Topic: "neural-topic-models"
MilaNLProc/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.
Language: Python - Size: 32 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1,161 - Forks: 140
MIND-Lab/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Language: Python - Size: 168 MB - Last synced at: 4 days ago - Pushed at: 9 months ago - Stars: 758 - Forks: 111
BobXWu/TopMost
A Topic Modeling System Toolkit (ACL 2024 Demo)
Language: Jupyter Notebook - Size: 254 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 238 - Forks: 26
BobXWu/FASTopic
A Fast, Adaptive, Stable, and Transferable Topic Model (NeurIPS 2024)
Language: Python - Size: 1.67 MB - Last synced at: 3 days ago - Pushed at: 2 months ago - Stars: 94 - Forks: 6
BobXWu/Paper-Neural-Topic-Models
Papers of Neural Topic Models (NTMs)
Size: 76.2 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 46 - Forks: 4
AnFreTh/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 sciences, STREAM simplifies the extraction, interpretation, and visualization of topics from large, complex datasets.
Language: Python - Size: 228 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 37 - Forks: 9
hamedR96/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 different periods, and aligns document clusters to represent topic evolution.
Language: Jupyter Notebook - Size: 31.6 MB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 9
pbhatia243/neural_topic_models
neural_topic_models
Language: Python - Size: 104 KB - Last synced at: about 1 month ago - Pushed at: over 8 years ago - Stars: 11 - Forks: 5
BobXWu/ECRTM
Code for Effective Neural Topic Modeling with Embedding Clustering Regularization (ICML2023)
Language: Python - Size: 43 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 0
li-lab-mcgill/GAT-ETM
"Modeling electronic health record data using an end-to-end knowledge-graph-informed topic model" paper on Sci Rep (2022)
Language: Python - Size: 3.1 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 0
AdhyaSuman/NTMs_Dropout_Analysis
This repository is associated with the paper "Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling", accepted at EACL 2023.
Language: Python - Size: 58.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
BobXWu/TraCo
Code for On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling (AAAI 2024)
Language: Python - Size: 6.03 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0