Skip to main content
buildradar
Sign in
Topic · nlp-library

nlp-library

Tracked open-source repos tagged nlp-library, sorted by stars.

Repos
23
Total stars
74,077
Avg. stars
3,221
Share
0.00%

Topics that frequently appear alongside nlp-library on the same repo.

Recent risers

Repos created in the last 90 days, tagged nlp-library.

No new repos tagged with this topic in the last 90 days.

  • spaCy@explosion

    💫 Industrial-strength Natural Language Processing (NLP) in Python

    33,869+8Star change over the last 7 days
  • A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

    16,663+7Star change over the last 7 days
  • OpenPrompt@thunlp

    An Open-Source Framework for Prompt-Learning.

    4,889-1Star change over the last 7 days
  • tika-python@chrismattmann

    Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.

    1,667+0Star change over the last 7 days
  • 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.).

    1,269+0Star change over the last 7 days
  • Treasure-of-Transformers@ashishpatel26

    💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

    1,179+0Star change over the last 7 days
  • pythainlp@PyThaiNLP

    Thai natural language processing in Python

    1,151+2Star change over the last 7 days
  • DataDreamer@datadreamer-dev

    DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

    1,117+0Star change over the last 7 days
  • OpenDelta@thunlp

    A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

    1,047+1Star change over the last 7 days
  • A curated list of resources for Japanese natural language processing (NLP): Python libraries, LLMs, dictionaries, corpora, and datasets. Includes Claude Code skills to search resources.

    1,005-1Star change over the last 7 days
  • Sudachi@WorksApplications

    A Japanese Tokenizer for Business

    1,002+0Star change over the last 7 days
  • kagome@ikawaha

    Self-contained Japanese Morphological Analyzer written in pure Go

    981+1Star change over the last 7 days
  • skweak@NorskRegnesentral

    skweak: A software toolkit for weak supervision applied to NLP tasks

    926+0Star change over the last 7 days
  • MindAct@candle-org

    MindSpore + 🤗Huggingface: Run any Transformers/Diffusers model on MindSpore with seamless compatibility and acceleration.

    920+0Star change over the last 7 days
  • janome@mocobeta

    Japanese morphological analysis engine written in pure Python

    914+0Star change over the last 7 days
  • lingua@pemistahl

    The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike

    822+3Star change over the last 7 days
  • OCTIS@MIND-Lab

    OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

    804+0Star change over the last 7 days
  • cn2an@Ailln

    📦 快速转化「中文数字」和「阿拉伯数字」~ (最新特性:分数,日期、温度等转化)

    766+0Star change over the last 7 days
  • medspacy@medspacy

    Library for clinical NLP with spaCy.

    674+0Star change over the last 7 days
  • ekphrasis@cbaziotis

    Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).

    673+0Star change over the last 7 days
  • homer@wyounas

    Homer, a text analyser in Python, can help make your text more clear, simple and useful for your readers.

    630-2Star change over the last 7 days
  • camel_tools@CAMeL-Lab

    A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.

    577+1Star change over the last 7 days
  • Giveme5W1H@fhamborg

    Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

    533-1Star change over the last 7 days
← Back to topics