Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
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Updated
Nov 7, 2024 - HTML
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
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Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Datasets, SOTA results of every fields of Chinese NLP
Examples and libraries for "Natural Language Processing in Action" book
Natural-language event parser for Javascript
Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
Programming books 3: Python、 Machine-Learning、 Deep-Learning、 NLP
This repo includes Google Bard prompt curation to use Bard better.
使用 flask + pyecharts 搭建的新���肺炎疫情数据可视化交互分析网站平台,包含疫情数据获取、每日疫情地图、曲线图展示,数据统计分析、态势感知、确诊人数预测分析算法设计、NLP舆情监测等任务(部署在http://covid.yunwei123.tech/)
Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford
This is a AI Based Smart Exam Proctoring System using python flask, mysql as database, yolov4
Notebooks for the Seattle PyData 2017 talk on Scattertext
A fast and accurate POS and morphological tagging toolkit (EACL 2014)
The repo containing the Critical Role Dungeons and Dragons Dataset.
Created by Alan Turing