zhanglipku

zhanglipku's Stars

• OscarKjell/text

  Using Transformers from HuggingFace in R

  Language:R14031

• matloff/qeML

  Language:R4014

• jsvine/pdfplumber

  Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

  Language:Python7k688

• MaartenGr/KeyBERT

  Minimal keyword extraction with BERT

  Language:Python3.6k357

• mcontisc/MTCOV

  Probabilistic generative model that incorporates both the topology of interactions and node attributes to extract overlapping communities in directed and undirected multilayer networks.

  Language:Python418

• singmann/mixed_model_workshop_2day

  Language:HTML488

• 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 (Bianchi et al.).

  Language:Python1.2k147

• dataabc/weibo-search

  获取微博搜索结果信息，搜索即可以是微博关键词搜索，也可以是微博话题搜索

  Language:Python1.8k384

• stanfordio/gogettr

  Public API client for GETTR, a "non-bias [sic] social network," designed for data archival and analysis.

  Language:Python9023

• DrorWalt/ANTMN

  Supplementary code for "News Frame Analysis: An Inductive Mixed-method Computational Approach" http://dx.doi.org/10.1080/19312458.2019.1639145

  Language:R158

• dddat1017/Scraping-Youtube-Comments

  Scrape comments from any Youtube video

  Language:Python6924

• Digital-Methods-HASS/DigitalArchives

  Class materials for 2020 digital iteration of Intro to Archives and Digital Methods

  Language:HTML22

• princeton-nlp/LM-BFF

  [ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

  Language:Python722132

• deezer/spleeter

  Deezer source separation library including pretrained models.

  Language:Python26.2k2.9k