| piskvorky/gensim |
14,915 |
|
2,371 |
766 |
over 2 years ago |
93 |
August 24, 2023 |
405 |
lgpl-2.1 |
Python |
| Topic Modelling for Humans |
| ddbourgin/numpy-ml |
14,162 |
|
0 |
0 |
over 2 years ago |
3 |
June 20, 2020 |
35 |
gpl-3.0 |
Python |
| Machine learning, in numpy |
| MaartenGr/BERTopic |
5,170 |
|
0 |
19 |
about 2 years ago |
35 |
November 27, 2023 |
196 |
mit |
Python |
| Leveraging BERT and c-TF-IDF to create easily interpretable topics. |
| ddangelov/Top2Vec |
2,738 |
|
0 |
2 |
over 2 years ago |
36 |
November 16, 2023 |
62 |
bsd-3-clause |
Python |
| Top2Vec learns jointly embedded topic, document and word vectors. |
| baidu/Familia |
2,432 |
|
0 |
0 |
almost 5 years ago |
0 |
|
19 |
bsd-3-clause |
C++ |
| A Toolkit for Industrial Topic Modeling |
| JasonKessler/scattertext |
2,131 |
|
8 |
2 |
over 2 years ago |
148 |
April 18, 2023 |
22 |
apache-2.0 |
Python |
| Beautiful visualizations of how language differs among document types. |
| ContextLab/hypertools |
1,787 |
|
9 |
1 |
over 2 years ago |
21 |
February 12, 2022 |
69 |
mit |
Python |
| A Python toolbox for gaining geometric insights into high-dimensional data |
| MilaNLProc/contextualized-topic-models |
1,141 |
|
0 |
4 |
about 2 years ago |
30 |
November 03, 2022 |
10 |
mit |
Python |
| 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. |
| owlbarn/owl |
1,118 |
|
0 |
0 |
over 2 years ago |
0 |
|
77 |
mit |
OCaml |
| Owl - OCaml Scientific Computing @ http://ocaml.xyz |
| dselivanov/text2vec |
829 |
|
15 |
18 |
over 2 years ago |
10 |
November 09, 2023 |
24 |
other |
R |
| Fast vectorization, topic modeling, distances and GloVe word embeddings in R. |
