SeohyunNam

JIF-Citescore-Trend-Analysis

Web of science & Scopus

sentence-transformers

State-of-the-Art Text Embeddings

Understanding-citation-contexts-with-structural-position-awareness

Citation intent classification dataset. Transformer models are available on Huggingface.

grobid

A machine learning software for extracting information from scholarly documents

citation-function

Measuring the Evolution of a Scientific Field through Citation Frames

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

acad-homepage.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

agentic-doc

Python library for Agentic Document Extraction from LandingAI

Algorithm

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

SeohyunNam/SeohyunNam

SeohyunNam/OSWorld

[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

SeohyunNam/Understanding-citation-contexts-with-structural-position-awareness

Citation intent classification dataset. Transformer models are available on Huggingface.

SeohyunNam/grobid

A machine learning software for extracting information from scholarly documents

SeohyunNam/deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

SeohyunNam/Web-Dev-Simplified-Official-Blog

SeohyunNam/appworld

🌍 Repository for "AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agent", ACL'24 Best Resource Paper.

SeohyunNam/acad-homepage.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

SeohyunNam/pure-suggest

Citation-based literature search

SeohyunNam/generative-ai-for-beginners

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

SeohyunNam/pytorch-nlp-tutorial

pytorch를 사용하여 텍스트 전처리부터 RAG, 에이전트, LLM 파인튜닝을 정리한 Deep Learning NLP 저장소입니다.

SeohyunNam/LLMs-from-scratch

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

SeohyunNam/Paper2Code

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning

SeohyunNam/mcp-for-beginners

This open-source curriculum is designed to teach the concepts and fundamentals of the Model Context Protocol (MCP), with practical examples in .NET, Java, TypeScript, JavaScript and Python.

SeohyunNam/Hands-On-Large-Language-Models

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

SeohyunNam/awesome-llm-apps

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

SeohyunNam/developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

SeohyunNam/kotaemon

An open-source RAG-based tool for chatting with your documents.

SeohyunNam/RAG_Techniques

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

SeohyunNam/tensorflow-nlp-tutorial

tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.

SeohyunNam/mcp-agent

Build effective agents using Model Context Protocol and simple workflow patterns

SeohyunNam/Algorithm

SeohyunNam/Paper2Poster

Open-source Multi-agent Poster Generation from Papers

SeohyunNam/ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

SeohyunNam/transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

SeohyunNam/agentic-doc

Python library for Agentic Document Extraction from LandingAI

SeohyunNam/multicite

MultiCite code and data. Models are available on Huggingface.

SeohyunNam/sentence-transformers

State-of-the-Art Text Embeddings

SeohyunNam/gensim

Topic Modelling for Humans

SeohyunNam/tech-interview-for-developer

👶🏻 신입 개발자 전공 지식 & 기술 면접 백과사전 📖