Hyeon Sang Jeon 's repositories
computing-Korean-STT-error-rates
STT 한글 문장 인식기 출력 스크립트의 외자 오류율(CER), 단어 오류율(WER)을 계산하는 Python 함수 패키지
AWS-LLM-SageMaker
SageMaker Ployglot based RAG opensearch
AIsketcher
Text-to-image generation using Huggingface stable diffusion ControlNet conditioning and AWS Translate's prompt translation function
aws-korea-2023-coding-school
aws-korea-2023-coding-school
awesome-claude-prompts
This repo includes Claude prompt curation to use Claude better.
aws-ai-ml-workshop-kr
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
bedrock-claude-chat
AWS-native chatbot using Bedrock + Claude
BIRD
This is the official implementation of "Blind Image Restoration via Fast Diffusion Inversion"
cdk-sagemaker-studio
create sagemaker studio using cdk typescript
data-to-paper
data-to-paper: AI-driven scientific research
fsdp_qlora
Training LLMs with QLoRA + FSDP
genai-ko-LLM
This hands-on lab walks you through a step-by-step approach to efficiently serving and fine-tuning large-scale Korean models on AWS infrastructure.
grok-1
Grok open release
llm-datasets
High-quality datasets, tools, and concepts for LLM fine-tuning.
magic-animate
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
Orion
Orion-14B is a family of models includes a 14B foundation LLM, and a series of models: a chat model, a long context model, a quantized model, a RAG fine-tuned model, and an Agent fine-tuned model. Orion-14B 系列模型包括一个具有140亿参数的多语言基座大模型以及一系列相关的衍生模型,包括对话模型,长文本模型,量化模型,RAG微调模型,Agent微调模型等。
prompt-injection-defenses
Every practical and proposed defense against prompt injection.
sagemaker-immersion-day
Sample codes for sagemaker immersion day
streamlit-agent
Reference implementations of several LangChain agents as Streamlit apps
supervision
We write your reusable computer vision tools. 💜
tensorflow-nlp-tutorial
tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
VideoLLaMA2
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs