text-classification

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

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

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Accelerated deep learning R&D

The Python Code Tutorials

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

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.

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

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

🦙 Integrating LLMs into structured NLP pipelines

An elegent pytorch implement of transformers

Natural language detection library for Rust. Try demo online: https://whatlang.org/

A tool for learning vector representations of words and entities from Wikipedia

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

👑 spaCy building blocks and visualizers for Streamlit apps

多标签文本分类，多标签分类，文本分类, multi-label, classifier, text classification, BERT, seq2seq，attention, multi-label-classification

NucliaDB, The AI Search database for RAG

Active Learning for Text Classification in Python

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

A Benchmark of Text Classification in PyTorch