Deep Learning, NLP, NMT, AI, ML
0. Flask Rest API – in SunnyWeb : 이미지 변환 웹의 Flask Rest API 1. 구성 flaskRestAPI01 : 이미지 변환 기능 중 유명 화가풍으로 변환, 안경과 동물들의 특징을 이미지에 추가하는 기능을 담당하는 flask Rest API a) imgs : 안경, 돼지(코), 쥐(코, 귀) 이미지 b) models b-1) instance_norm b-2) eccv16 c) api_test01.py : json으로 request를 주었을 때를 테스트하는 모듈 d) app01.py : flask로 웹 서버를 올려 json request를 json response를 보내주는 flask Rest API e) img_download.py : s3에서 이미지를 다운 받아서 […]
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Requirements and Installation More details see fairseq. Briefly, python == 3.6.4 pytorch == 1.7.1 Installing fairseq and other requirements git clone https://github.com/MUGE-2021/image-caption-baseline cd muge_baseline/ pip install -r requirements.txt cd fairseq/ pip install –editable . Downloading data and place to dataset/ directory,file structure is text2image-baseline – dataset – ECommerce-T2I – T2I_train.img.tsv – T2I_train.text.tsv – … Getting Started The model is a BART-like model with vqgan as a image tokenizer, please see models/t2i_baseline.py for detailed model structure. Training
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This is the official code of Retinal Vessel Segmentation with Pixel-wise Adaptive Filters and Consistency Training (ISBI 2022). We evaluate our methods on three datasets, DRIVE, CHASE_DB1 and STARE. You can download the three datasets from Google drive.Of course, you can download the dataset from DRIVE, CHASE_DB1 and STARE respectively. Requirement Refer to Pytorch to install Pytorch >= 1.1. pip install -r requirements.txt Config file
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Coding Club prediction ig Basically:Create an application that displays trendsShould implement a graph (either bar or line)Should take input parameters into accountList of parameters:Has it been tweeted aboutHow many followers does the tweeter haveAre they verifiedIs their tweet positive or negative (this will be hard to algorithmically tell)Prices of other coins/predicted future prices of other coinsStock market prosperityPast trendsAmount in circulationUser should be able to mouse over graph and see specific data pointsShould be able to calculate profits/lossesShould take user […]
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Predicts the likelihood of Polycystic Ovary Syndrome based on patient attributes and symptoms using Logistic Regression. Clone the Repository git clone https://github.com/smv5467/pcos-prediction Add Dependencies with Poetry If you don’t have poetry install with: curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python – poetry install Download Data Retrieve data from Kaggle: https://www.kaggle.com/prasoonkottarathil/polycystic-ovary-syndrome-pcosDownload PCOS_data_without_infertility.xlsxOpen excel file and save as a CSV file under the same name Run program poetry run python pcos_predictor.py GitHub View Github
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Version 0.0.2 Tools for Osmosis wallet management and offline transaction signing Installing Installing from PyPI repository: Installing from source code: git clone https://github.com/bro-n-bro/osmopy cd cyberpy pip3 install . Usage Generating a wallet from osmopy import generate_wallet wallet = generate_wallet() The value assigned to wallet will be a dictionary just like:
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Usage NOTE you have to define starlette.requests.Request as first argument
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A general-purpose generator for keys. Designed for all cryptocurrencies supporting the Bitcoin format of keys and addresses. Functions To enable functions: Functions: ./main.py GET # GET will get either a new key if the database is found, or will make a new key object ./main.py DELETE # DELETE will delete a key if the database is found TODO GitHub View Github
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