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.
Non-Autoregressive Predictive Coding This repository contains the implementation of Non-Autoregressive Predictive Coding (NPC) as described in the pre
VampiresVsWerewolves Our Implementation of a MiniMax algorithm with alpha beta pruning in the context of an in-class competition. Our Algorithm finish
Neural Network Models for Joint POS Tagging and Dependency Parsing Implementations of joint models for POS tagging and dependency parsing, as describe
oppo-text-match 小布助手对话短文本语义匹配的一个baseline 模型 参考：https://kexue.fm/archives/8213 base版本线下大概0.952，线上0.866（单模型，没做K-flod融合）。 训练 测试环境：tensorflow 1.15 + keras
WaveGlow A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis Quick Start: Install requirements: pip install
trfaq Google supported this work by providing Google Cloud credit. Thank you Google for supporting the open source! 🎉 What is this? At this repo, I'm
Machine Psychology: Python Generated Art A limited collection of 64 algorithmically generated artwork. Each unique piece is then given a title by the
spaCyOpenTapioca A spaCy wrapper of OpenTapioca for named entity linking on Wikidata. Table of contents Installation How to use Local OpenTapioca Vizu
Classification of category of nepali news catorgory using different algorithms Problem: Multiclass Classification Approaches: TFIDF for vectorization
The CPC-big model and k-means checkpoints used in Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing.
vq-wav2vec inference A minimal code for fairseq vq-wav2vec model inference. Runs without installing the fairseq toolkit and its dependencies. Usage ex
Prompt-learning is the latest paradigm to adapt pre-trained language models (PLMs) to downstream NLP tasks, which modifies the input text with a textual template and directly uses PLMs to conduct pre
Longformer Longformer and LongformerEncoderDecoder (LED) are pretrained transformer models for long documents. ***** New December 1st, 2020: Longforme
KgCLUE-bert4keras 基于“Seq2Seq+前缀树”的知识图谱问答 简介 博客：https://kexue.fm/archives/8802 环境 软件：bert4keras=0.10.8 硬件：目前的结果是用一张Titan RTX（24G）跑出来的。 运行 第一次运行的时候，会给知
jel: Japanese Entity Linker jel - Japanese Entity Linker - is Bi-encoder based entity linker for japanese. Usage Currently, link and question methods
CrossNER is a fully-labeled collected of named entity recognition (NER) data spanning over five diverse domains (Politics, Natural Science, Music, Literature, and Artificial Intelligence) with specia
WikiPron WikiPron is a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary, as well as a database of pronuncia
BERT-whitening This is the Pytorch implementation of "Whitening Sentence Representations for Better Semantics and Faster Retrieval". BERT-whitening is
PyTranslator O Que é e para que serve o PyTranslator? PyTranslator é simultaneamente um editor e tradutor de texto em com interface gráfica que usa a
KoGPT KoGPT (Korean Generative Pre-trained Transformer) https://github.com/kakaobrain/kogpt https://huggingface.co/kakaobrain/kogpt Model Descriptions
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