Hands-on repository for fine-tuning Large Language Models (LLMs) in the clinical domain with tutorials

『혼자 공부하는 컴퓨터구조 & 운영체제』 (한빛미디어)

A benchmark for few-shot evaluation of foundation models for electronic health records (EHRs)

Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex internal dependencies.

✨✨Latest Advances on Multimodal Large Language Models

Clinically Adapted Model Enhanced from LLaMA

Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"

Transformer 이후 나온 Pretrained Language Model을 간단하게 구현하였음.

MedViLL official code. (Published IEEE JBHI 2021)

Google AI 2018 BERT pytorch implementation

"모두를 위한 메타러닝" 책에 대한 코드 저장소

This is the code for pytorch tutorial. You can see the lectures here.(https://www.youtube.com/watch?v=EMXfZB8FVUA&list=PLqnslRFeH2UrcDBWF5mfPGpqQDSta6VK4&index=1)

한국어 데이터 세트 링크

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

Large-scale language modeling tutorials with PyTorch

Implementation of Trajectory Transformer with attention caching and batched beam search

🐻곰파다 🖊️ : 서술형 자동 채점 서비스

Boostcamp AI Tech 3rd / Basic Paper reading w.r.t Embedding

level1-image-classification-level1-nlp-02 created by GitHub Classroom

Cookiecutter template for FastAPI projects using: Machine Learning, uv, Github Actions and Pytests

Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

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