<핸즈온 LLM>(한빛미디어, 2025)의 예제 코드 저장소

🙌 OpenHands: Code Less, Make More

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

See how to augment LLMs with real-time data for dynamic, context-aware apps - Rag + Agents + GraphRAG.

Example Streamlit app that you can fork to test out share.streamlit.io

🚀 State-of-the-art Dependency, Constituency and Semantic Dependency Parsers, with pretrained models for more than 19 languages.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

This repo contains a simple source code for advanced neural machine translation based on sequence-to-sequence.

도서 내의 코드들을 모아 놓은 repo입니다.

This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned" and the ACL 2021 paper "Analyzing Sou…

Officially supported AllenNLP models

한국어 데이터 세트 링크

Korean BERT pre-trained cased (KoBERT)

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

Data augmentation for NLP

Distillation of KoBERT from SKTBrain (Lightweight KoBERT)

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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

TensorFlow code and pre-trained models for BERT

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Tensorflow implementation of contextualized word representations from bi-directional language models

bert-bilstm-crf implemented in pytorch for named entity recognition.

Semantics-aware BERT for Language Understanding (AAAI 2020)

Deep Learning Examples