Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

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

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

all kinds of text classification models and more with deep learning

Natural Language Processing Best Practices & Examples

搜索所有中文NLP数据集，附常用英文NLP数据集

CNN-RNN中文文本分类，基于TensorFlow

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

State of the Art Natural Language Processing

Snips Python library to extract meaning from text

Accelerated deep learning R&D

MTEB: Massive Text Embedding Benchmark

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

The Python Code Tutorials

⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Text Classification Algorithms: A Survey

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Data augmentation for NLP, presented at EMNLP 2019

DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

Graph Convolutional Networks for Text Classification. AAAI 2019

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。