Contextualized Topic Models
MilaNLProc
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 an…
ResearchReview before use
1.3KGitHub
OPENAGENTSKILL / DIRECTORY
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Results · “topic-modelling”
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Deep Research
dzhng
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of th…
19.1KGitHub
Deep Research Web Ui
AnotiaWang
(Supports DeepSeek R1) An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language…
2.2KGitHub
Top2Vec
ddangelov
Top2Vec learns jointly embedded topic, document and word vectors.
ResearchReview before use
3.1KGitHub
summarize-meeting
phuryn
Summarize a meeting transcript into structured notes with date, participants, topic, key decisions, summary points, and action items. Use when processing meeting recordi…
ResearchClaude Code
26.3KGitHub
autoresearch
AgriciDaniel
Run a bounded, source-grounded research loop, draft a cited dossier, and optionally propose a separately reviewed canonical vault merge. Use when the user wants autonomo…
ResearchClaude Code
14.5KGitHub
exam-ready
iflytek
Prepare a concise exam review from study materials and a syllabus supplied by the user. Use for topic summaries, recall questions, MCQ cues, and time-limited revision pl…
ResearchClaude Code
4.9KGitHub
External platform skills
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