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

Natural Language Processing Best Practices & Examples

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

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

Accelerated deep learning R&D

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

Text Classification Algorithms: A Survey

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

Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥

🦙 Integrating LLMs into structured NLP pipelines

An elegent pytorch implement of transformers

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 repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.