natural-language-processing

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

MindSpore online courses: Step into LLM

Interpretability for sequence generation models 🐛 🔍

🐍 Hand-picked awesome Python libraries and frameworks, organised by category

Transform AI-generated text into formal, human-like, and academic writing with ease, avoids AI detector!

CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊

rUv's Claude-Flow, translated to the new Gemini CLI; transforming it into an autonomous AI development team.

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

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Cybertron: the home planet of the Transformers in Go

This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.

Repository for Project Insight: NLP as a Service

On-device LLM Inference Powered by X-Bit Quantization

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.

An NLP system for generating reading comprehension questions

Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

Home of the AI workforce - Multi-agent system, AI agents & tools

Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023