nlptown

nlp-notebooks

A collection of notebooks for Natural Language Processing from NLP Town

TutorialsML/AI fundamentalsJupyter Notebook

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创建于 2018-04-30 · 更新于 2026-10-09 · 今日第 12079 名

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yvespeirsman

nlptown/nlp-notebooks 排名第 12,079，有 1,014 个星标。

同类别比较

nlptown/nlp-notebooks 排名第 12,079，此处有 8 个同类条目；tanelp/tiny-diffusion 排名第 12,081。

同类别比较
名称	排名	指标
itsdouges/typescript-transformer-handbook	12,049	语言: TypeScript 星标数: 1,020 分叉数: 33 简介: 📘 A comprehensive handbook on how to create transformers for TypeScript with code examples.
abdullahtarek/football_analysis	12,053	语言: Jupyter Notebook 星标数: 1,019 分叉数: 343 简介: This repository contains a comprehensive computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, optical flow for motion tracking, and perspective transformation to analyze player movements in football videos
majacinka/crewai-experiments	12,061	语言: Python 星标数: 1,018 分叉数: 252 简介: Experiments with local as well as models available through an api
Azure-Samples/Cognitive-Speech-TTS	12,074	语言: Python 星标数: 1,014 分叉数: 546 简介: Microsoft Text-to-Speech API Samples
tanelp/tiny-diffusion	12,081	语言: Jupyter Notebook 星标数: 1,014 分叉数: 80 简介: A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
NannyML/The-Little-Book-of-ML-Metrics	12,083	语言: Jupyter Notebook 星标数: 1,013 分叉数: 83 简介: The book every data scientist needs on their desk.
SkalskiP/awesome-chatgpt-code-interpreter-experiments	12,095	星标数: 1,011 分叉数: 58 简介: Awesome things you can do with ChatGPT + Code Interpreter combo 🔥
ORDINAND/The-Art-of-Asking-ChatGPT-for-High-Quality-Answers-A-complete-Guide-to-Prompt-Engineering-Technique	12,099	星标数: 1,009 分叉数: 118 简介: ChatGPT提问技巧

关键参数与规格

关键参数与规格
参数	值
语言	Jupyter Notebook
类别	Tutorials
子类别	ML/AI fundamentals
星标数	1,014
分叉数	384
贡献者	1
创建日期	2018-04-30
更新日期	2026-10-09
1 天星标数	0
7 天星标数	1
排名	12,079
上次排名	11,996
排名变化	-83
7 天星标排名	10,307
上次 7 天星标排名	10,349
7 天星标排名变化	42
总星标排名	11,042
上次总星标排名	11,023
总星标排名变化	-19

README 摘录

nlp-notebooks A collection of notebooks for Natural Language Processing from NLP Town NLP 101 1. NLP with Pre-trained models from spaCy and StanfordNLP 3. Discovering and Visualizing Topics in Texts with LDA Named Entity Recognition 1. Updating spaCy's Named Entity Recognition System 2. Named Entity Recognition with Conditional Random Fields 3. Sequence Labelling with a BiLSTM in PyTorch 4. Medical Entity Recognition with Pretrained Transformers Text classification 1. "Traditional" Text Classification with Scikit-learn 2. Intent Classification with

Smaller Transformers 3. Zero-Shot Text Classification Sentence similarity 1. Data Exploration with Sentence Similarity Multilingual word embeddings 1. Cross-lingual transfer learning Transfer Learning 1. Keras sentiment analysis with Elmo Embeddings 2. Text classification with BERT in PyTorch 3. Multilingual text classification with BERT

常见问题

记录了多少星标和分叉？

nlptown/nlp-notebooks 有 1,014 个星标和 384 个分叉。

仓库排名是多少？

nlptown/nlp-notebooks 排名第 12,079。

记录的语言和类别是什么？

nlptown/nlp-notebooks 有 1,014 个星标，语言为 Jupyter Notebook，类别为 Tutorials。

哪个仓库排名最接近？

nlptown/nlp-notebooks 与 tanelp/tiny-diffusion 比较，后者排名第 12,081，有 1,014 个星标。