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.
End-to-end neural table-text understanding models.
CIRPLANT This repository contains the code and pre-trained models for Composed Image Retrieval using Pretrained LANguage Transformers (CIRPLANT) For d
Disfl-QA is a targeted dataset for contextual disfluencies in an information seeking setting, namely question answering over Wikipedia passages. Disfl-QA builds upon the SQuAD-v2 (Rajpurkar et al., 2
Welcome to the Transfer NLP library, a framework built on top of PyTorch to promote reproducible experimentation and Transfer Learning in NLP You can
语音识别的简单示例,主要在课堂演示使用 创建python虚拟环境 在linux 和macos 上验证通过 # 如果已经有pyhon3.6 环境，跳过该步骤，使用
A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)
Natural Language Processing Specialization In this folder, Natural Language Processing Specialization projects and notes can be found. WHAT I LEARNED
Awesome-Hackernews Hacker News is a social news website focusing on computer technologies, hacking and startups. It promotes any content likely to "gr
Applied Natural Language Processing in the Enterprise This is the companion repo for Applied Natural Language Processing in the Enterprise, an O'Reill
Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated. This engine can later be used for downstream tasks in NLP such as Q&A, summarization, generation
Cải thiện Elasticsearch trong bài toán semantic search sử dụng phương pháp Sentence Embeddings Trong bài viết này mình sẽ sử dụng pretrain model SimCS
KoSentimentAnalysis Bert implementation for the Korean multi-class sentiment analysis 왜 한국어 감정 다중분류 모델은 거의 없는 것일까?에서 시작된 프로젝트 Environment: Pytorch, Da
What is MUSE? MUSE stands for Multilingual Universal Sentence Encoder - multilingual extension (16 languages) of Universal Sentence Encoder (USE). MUS
Official code for our Interspeech 2021 - Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset [1]*. Visually-grounded spoken language datasets c
NLP-Models-Tensorflow, Gathers machine learning and tensorflow deep learning models for NLP problems, code simplify inside Jupyter Notebooks 100%. Tab
recbole-item2vec-model This is a simple item2vec implementation using gensim for recbole( https://recbole.io ) Usage When you want to run experiment f
Writer_unblock Straight-forward command line interfacing with GPT-3. Finding yourself stuck at a conceptual stage? Spinning your wheels needlessly on
BERN2 We present BERN2 (Advanced Biomedical Entity Recognition and Normalization), a tool that improves the previous neural network-based NER tool by
source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training
Data and code for EMNLP 2021 paper "FinQA: A Dataset of Numerical Reasoning over Financial Data"
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