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<만들면서 배우는 생성 AI 2판>의 코드 저장소
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Transformer: PyTorch Implementation of "Attention Is All You Need"
Pytorch 트랜스포머 구현과 언어모델(BERT MLM, ELECTRA), 기계번역 테스트.
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive arch…
PyTorch code and models for V-JEPA self-supervised learning from video.
Learning audio concepts from natural language supervision
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
'컴퓨터 네트워킹: 하향식 접근(제8판)'을 읽고 공부하며 정리하는 저장소입니다.
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
Google Research
대학원 생활을 하며 사용하는 작고 소중한 코딩팁 (linux 명령어 등)
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)