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.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
TensorFlow code and pre-trained models for BERT
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
💫 Industrial-strength Natural Language Processing (NLP) in Python
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Topic Modelling for Humans
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
NLTK Source
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)
An open-source NLP research library, built on PyTorch.
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Created by Alan Turing