Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

Tongyi Deep Research, the Leading Open-source Deep Research Agent

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

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Developer friendly Natural Language Processing ✨

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱