아주 간단한 개인용, 혹은 내부용 툴을 만들어야하는데 이왕이면 웹이 편하죠?
그럴때를 위해 만들어둔 django와 vue(vuetify)로 이뤄진 boilerplate 입니다.
각 폴더에 있는 설명서대로 실행을 시키면 일단 당장 뭔가가 돌아갑니다. 거기서부터 슥슥 수정해서 사용하면 끝~
로그인 기능 정도는 있지만 API도 그렇고 전반적으로 보안은 전혀 없다고 봐도 됨.
사용 예시: 이미지 한 1,000장 정도 라벨링을 해야하는데 UI가 있으면 편할것 같고 둘이서 나눠서 작업하고 싶을때. 근데 웹사이트 초기 세팅이 귀찮을때.
AWS 같은데에 올리고 싶다면 API 보안 설정 좀 더 해야하고 (drf 참고) DB도 외부로 빼야하고 ECS에 백, 프론트 나눠서 각각 올리는걸 추천.
Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document. Technologies that can make a coherent
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Wiktionary as CLDF Content cldf1 and cldf2 contain cldf-conform data sets with a total of 2 377 756 entries about the vocabulary of all 1403 languages
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keytotext Idea is to build a model which will take keywords as inputs and generate sentences as outputs. Potential use case can include: Marketing Sea
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OpenSpeech provides reference implementations of various ASR modeling papers and three languages recipe to perform tasks on automatic speech recogniti
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This repository is forked from Real-Time-Voice-Cloning which only support English. English | 中文 Features 🌍 Chinese supported mandarin and tested with
基于pytorch框架用resnet101加GPT搭建AI玩王者荣耀 本源码模型主要用了SamLynnEvans Transformer 的源码的解码部分。以及pytorch自带的预训练模型"resnet101-5d3b4d8f.pth"
Guide: Finetune GPT2-XL (1.5 Billion Parameters) and GPT-NEO (2.7 Billion Parameters) on a single 16 GB VRAM V100 Google Cloud instance with Huggingfa
Tools for curating biomedical training data for large-scale language modeling
VectorAscent: Generate vector graphics from a textual description Example "a painting of an evergreen tree" python text_to_painting.py --prompt "a pai
Anomaly Detection 시계열 데이터에 대한 이상치 탐지 1. Kernel Density Estimation을 활용한 이상치 탐지 train_data_path와 test_data_path에 존재하는 시점 정보를 포함하고 있는 csv 형태의 train data와
LUKE (Language Understanding with Knowledge-based Embeddings) is a new pre-trained contextualized representation of words and entities based on transf
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