TopMost
A Topic Modeling System Toolkit (by BobXWu)
rakun2
RaKUn 2.0 - A fast keyword detection algorithm (by SkBlaz)
| TopMost | rakun2 | |
|---|---|---|
| 1 | 1 | |
| 146 | 61 | |
| - | - | |
| 7.6 | 6.1 | |
| about 2 months ago | 3 months ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TopMost
Posts with mentions or reviews of TopMost.
We have used some of these posts to build our list of alternatives
and similar projects.
rakun2
Posts with mentions or reviews of rakun2.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing TopMost and rakun2 you can also consider the following projects:
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
ddb-extraction - Extract the samples of a DDB Vocaloid file.
converse - Conversational text Analysis using various NLP techniques
NLP-Guide - Natural Language Processing (NLP). Covering topics such as Tokenization, Part Of Speech tagging (POS), Machine translation, Named Entity Recognition (NER), Classification, and Sentiment analysis.
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.).
kerning-pairs - The ultimate list of kerning pairs for type designers