natural-language-processing
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.
Repositories (1443)
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of...
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
📅🇨🇳中国法定节假日数据 自动每日抓取国务院公告
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
A comprehensive reference for all topics related to Natural Language Processing
A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).
Baidu's open-source Sentiment Analysis System.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG eco...
Deep Learning model to analyze a large corpus of clear text passwords.
SLING - A natural language frame semantics parser
BERT score for text generation
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, wor...
💫 Models for the spaCy Natural Language Processing (NLP) library
Transformers 库快速入门教程
[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Self-contained Machine Learning and Natural Language Processing library in Go
A curated list of awesome embedding models tutorials, projects and communities.
NLTK Data
A large annotated semantic parsing corpus for developing natural language interfaces.
A collection of research on knowledge graphs
Underthesea - AI Assistant
Shared repository for open-sourced projects from the Google AI Language team.
1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
The most accurate natural language detection library for Python, suitable for short text and mixed-language text
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Synthetic data curation for post-training and structured data extraction
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics...
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository...
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html...
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
LLM(😽)
🦆 Contextually-keyed word vectors
A fast, efficient universal vector embedding utility package.
Pre-Trained Chinese XLNet（中文XLNet预训练模型）
🧠 A study guide to learn about Transformers
:us: a python library for parsing unstructured United States address strings into address components
Paper List for Style Transfer in Text
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at T...
General Assembly's 2015 Data Science course in Washington, DC
WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
Python Keyphrase Extraction module
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Must-read Papers on Textual Adversarial Attack and Defense
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domain...