Summarizes emails with artificial intelligence. Based on the main topic of a message, the most important information is extracted.

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

NucliaDB, The AI Search database for RAG

DReAMy: a library for dream-reports annotation methods with python, NLP, and LLMs

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

Smarter Manual Annotation for Resource-constrained collection of Training data

Client interface for all things Cleanlab Studio

KANs for text classification on GLUE tasks

MTEB: Massive Text Embedding Benchmark

Deep Learning for text classification

Annif is a multi-algorithm automated subject indexing tool for libraries, archives and museums.

A project demonstrating the use of Large Language Models (LLMs) for text classification using the RoBERTa model.

pytextclassifier is a toolkit for text classification. 文本分类，LR，Xgboost，TextCNN，FastText，TextRNN，BERT等分类模型实现，开箱即用。

Project for the Integrated Project 1 course at EAFIT. Dungeons & Dragons game generator

All NLP you Need Here. 目前包含15个NLP demo的pytorch实现（大量代码借鉴于其他开源项目，原先是自己玩的，后来干脆也开源出来）

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.

OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.

Open source no-code system for text annotation and building of text classifiers

sentiment analysis on Amazon reviews using deep learning models (simpleRNN and LSTM). Preprocess the dataset, split it for training and validation, and build a vocabulary for word embedding. The project includes a real-time prediction feature for user-inputted reviews and provides a report detailing model summaries and best hyperparameters.

Deep learning in smiles win / loss evaluation.