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An open API service indexing awesome lists of open source software.

NumPy

NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

https://github.com/hac8hi/ppgmonitoring

A PyQt generated app who display PPG signal, heart rate and breath rate

numpy pca ppg ppg-signal principal-component-analysis pyqt5 pyqtgraph scipy signal-analysis signal-processing

Last synced: 06 May 2026

https://github.com/natiellitorres/python-data-science-alura

Repositório contendo meus estudos e projetos realizados durante o curso de Python para Data Science da Alura. Inclui notebooks, datasets e análises aplicadas com bibliotecas como Pandas, NumPy, Matplotlib, entre outras.

data-science jupyter-notebook matplotlib numpy pandas python

Last synced: 13 Apr 2026

https://github.com/rkschroeder/portfolio

This repository contains a data science project.

matplotlib numpy pandas sckit-learn seaborn

Last synced: 17 Feb 2026

https://github.com/tabotcharlesbessong/python-errors

This repository will contain all python errors i will encounter in my life as a python plus their solutions

matplotlib-animation matplotlib-pyplot numpy pandas python-script python3 scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/kkKaan/tensor-library-403-hw1

A numpy like library for tensor (gergen) operations.

deep-learning numpy python tensor

Last synced: 09 Sep 2025

https://github.com/night-fury-me/deep-learning-fau

A repository that contains implementation of DNN, CNN and RNN from Scracth using numpy only. ResNet implementation using PyTorch

cnn deep-learning dnn machine-learning numpy pytorch rnn

Last synced: 10 Jul 2025

https://github.com/rosacarla/projetodio_covid19

Projeto desenvolve modelos com Python e Machine Learning para prever a evolução do COVID-19 no Brasil

etl machine-learning numpy pandas python

Last synced: 08 Apr 2026

https://github.com/wisskirchenj/matrix-processor

Python app to process matrices using numpy

matrix-calculations numpy python3

Last synced: 16 May 2026

https://github.com/shdrn2402/budget-analytics

Analyze a family's two-year spending in Israel to uncover trends, optimize budgets, and compare consumption patterns using Python, Pandas, and visualization tools.

jupyter-notebook matplotlib numpy pandas python seaborn visualization

Last synced: 08 Apr 2026

https://github.com/stkisengese/numpy-data-fundamentals

A comprehensive collection of NumPy exercises covering array manipulation, slicing, broadcasting, random data generation, and real-world data analysis applications.

data data-analysis numpy pre-processing

Last synced: 16 May 2026

https://github.com/klaudiozdrava/image-analysis

A Python project that was developed as a university assignment and the goal is to colorize an grayscale image using machine learning techniques.

colorization image-processing kmeans-clustering numpy svm

Last synced: 16 May 2026

https://github.com/cr00z/dlschool_adv

Репозиторий для сдачи домашних заданий на первом семестре продвинутого потока курса "Deep Learning" Школы глубокого обучения ФПМИ МФТИ

matplotlib numpy pandas python pytorch sklearn

Last synced: 02 Apr 2026

https://github.com/secary/compsci7211

Foundations of Computer Science B

algorithms git numpy pandas shell unix

Last synced: 10 Apr 2026

https://github.com/stephnna/my_image_classifier

A deep learning-based image classifier built with PyTorch, designed to identify various flower species using architectures like VGG16, ResNet101, and AlexNet. This project leverages transfer learning for improved performance, checkpointing for seamless training, and supports both CPU and GPU devices. Perfect for exploring deep learning models and i

matplotlib numpy python pytorch

Last synced: 11 May 2026

https://github.com/alphacrypto246/grape-quality-prediction

The Grape Quality Prediction project uses machine learning to predict the quality of grapes based on chemical properties like acidity, sugar content, and alcohol levels. It applies regression models to forecast the quality score, helping in wine production and quality assessment.

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 19 Apr 2026

https://github.com/tomas542/dl_examples

Examples of Machine Learning, Deep Learning, Natural Language Processing and so on

computer-vision cv deep-learning dl keras machine-learning ml natural-language-processing nlp numpy python pytorch scikit-learn

Last synced: 08 Apr 2026

https://github.com/singhvishal003/stock-price-predict

Stock Price Prediction model using yfinance data .

keras matplotlib numpy pandas yfinance

Last synced: 08 Apr 2026

https://github.com/crispengari/effects-of-covid19-on-trade

This repository visulises the effects of covid19 on trade within these years:

100daysofcode datascience datascience-machinelearning matplotlib matplotlib-pyplot numpy pandas python python3

Last synced: 02 May 2026

https://github.com/prath0m/python-numpy

Python basic Numpy Program

machine-learning numpy python python3

Last synced: 09 Apr 2026

https://github.com/mondalbidisha/landmark-recognition

A solution for identifying and recognizing landmarks from images, addressing key challenges and leveraging both algorithmic and human expertise to achieve high accuracy and reliability.

jupyter-notebook kaggle kaggle-datasets numpy pandas python3

Last synced: 08 Apr 2026

https://github.com/gmork2/covid-19

A mathematical analysis of the infection growth

coronavirus covid-19 jupyter-notebook numpy pandas python scikit-learn

Last synced: 08 Apr 2026

https://github.com/beolawork-art/novabank-churn-analysis

NovaBank has noticed that customers are closing accounts or going inactive, and they want to understand why.

data-analysis data-science-projects data-visualization eda machine-learning numpy pandas python scikit-learn sql

Last synced: 08 Apr 2026

https://github.com/lorenzorottigni/ml-lending-club

Machine Learning python bootcamp: random forest classifier on LendingClub dataset

ipynb machine-learning numpy pandas python random-forest-classifier scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/sutterseba/des-python

A simple DES implementation in Python

cryptography numpy python

Last synced: 15 Jun 2026

https://github.com/shreedata/data-analysis-using-python-libraries-

The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

covid-19 data data-cleaning data-visualization datana kaggle-dataset matplotlib numpy pandas-python python3 pythonlibrarires scikit seaborn

Last synced: 28 Mar 2025

https://github.com/rahul-404/full_stack_data_science_masters

Welcome to the repository for the course "Full Stack Data Science Masters". This repository is designed to accompany the course and provide resources, exercises, and projects related to the study of data science techniques.

computer-vision data-science database deep-learning exploratory-data-analysis flask machine-learning natural-language-processing numpy pandas python statistics time-series visualization

Last synced: 10 Apr 2026

https://github.com/shahbazshaddy/explainable-multimodal-ai-for-breast-cancer-and-pneumonia-prediction

A deep learning-based framework integrating explainable multimodal AI for accurate prediction and transparent diagnosis of breast cancer and pneumonia.

deep-learning explainable-ai grad-cam groq-api llm machine-learning matplotlib multimodal numpy pandas python pytorch scikit-learn seaborn streamlit

Last synced: 08 Apr 2026

https://github.com/amardeepsingh-06/smart_attendance_system

The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.

asgiref django mysql numpy opencv pillow-library python sqlparse

Last synced: 05 Apr 2026

https://github.com/ramyacp14/salesforecasting

Forecasts future sales for a retail company using time series analysis with Facebook Prophet. The project involves data preprocessing, exploratory data analysis (EDA), and forecasting with holiday effects considered.

data-preprocessing data-visualization exploratory-data-analysis fbprophet machine-learning matplotlib model-evaluation numpy pandas python seaborn time-series-forecasting

Last synced: 06 Apr 2026

https://github.com/hansalemaos/cppradixsort

parallel_radixsort from C++ for Python (Windows)

cpp numpy parallel-computing python sort

Last synced: 05 Feb 2026

https://github.com/colesmcintosh/pycuda-numpy-vector-ops

Accelerating NumPy Vector Operations with PyCUDA

cuda-programming numpy pycuda

Last synced: 28 Apr 2026

https://github.com/lintangwisesa/flask_sklearn_californiahouse

Simple Flask App with Linear Regression model to predict California house pricing 🏠

california-house-pricing flask linear-regression machine-learning numpy pandas sklearn

Last synced: 12 Apr 2026

https://github.com/dmarks84/coursework_project_boston-data-project

Project for IBM Data Science course on Statistics -- Read in a large data set and performed several statistical analyses and hypothesis testing

communication data-modeling data-reporting dataframes eda hypothesis-testing matplotlib numpy pandas probability python scipy seaborn statistics visualization

Last synced: 08 Apr 2026

https://github.com/seymencanates/pythonn

Here is my all personal educations , notes , basic apps I did. Here will be my backside for all supportive information about python I am gonna need.

django flask numpy pandas python3 scikitlearn-machine-learning tensorflow tkinter

Last synced: 08 Apr 2026

https://github.com/shreyavats23/sign_language_recognition

Sign Language Recognition using Deep Learning : ~ Built a model to recognize American Sign Language (ASL) for letters A–Z and digits 1–9 ~ Achieved ~89% validation accuracy using a Convolutional Neural Network (CNN) ~ Used data augmentation techniques to improve generalization ~ Visualized predictions to test the model on real samples

artificial-intelligence keras machine-learning matplotlib numpy python pytorch seaborn sklearn tensorflow

Last synced: 08 Apr 2026

https://github.com/yalai92/cava_imp_exp_analysis

Analysis, visualization, preprocessing and clustering of global sparkling wine trade (2017–2024) using Python in Colab and ML to reveal trends and country profiles.

clustering colab-notebook data-science data-visualization machine-learning matplotlib numpy pandas preprocessing python sklearn tableau-public

Last synced: 25 Jan 2026

https://github.com/themysterysolver/python_basics

"This repo includes simple Python programs for beginners, covering various concepts, object-oriented programming, and different module usages, to help with understanding and learning Python."

basic-python-syntax collections dsa matplotlib numpy oops-in-python pandas python re scipy

Last synced: 05 Apr 2026

https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding

Course assignment for Algorithm and Massive Datasets comparing SAD and SSD for motion estimation. Includes analysis of accuracy, speed (Python/NumPy), and error sensitivity. Highlights trade-offs for speed-critical vs. precision-focused applications.

l1-normalization l2-norm numpy pytho video-cod

Last synced: 04 Apr 2025

https://github.com/yash-3-bit/human-activity-recognition-using-smartphone-data

Human Activity Recognition (HAR) Using Smartphone Data This project leverages smartphone sensor data to recognize human activities such as walking, running, sitting, and standing.

numpy pandas python scikitlearn-machine-learning seaborn

Last synced: 09 Apr 2026

https://github.com/sarthakm402/rabbi

A Ml library that can be used ot clean,and use models to predict on data

numpy optuna pandas pypi-package python sklearn

Last synced: 20 Apr 2026

https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023

Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.

binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap

Last synced: 08 Apr 2026

https://github.com/alejandrolara11/desafio_latam_introduccion_analisis_de_datos

Repositorio del curso "Introducción al Análisis de Datos" de Desafío Latam. Ejercicios prácticos realizados durante el curso, enfocados en análisis de datos con Python, Pandas, y visualización básica.

data-analysis data-science data-visualization matplotlib numpy pandas python seaborn statsmodels

Last synced: 29 Apr 2026

https://github.com/shibam120302/dog_breed_prediction_app

The Dog Scanner app will identify your dog's breed reliably in just a few seconds! Besides taking a picture, you can also record a video or upload an image from your gallery. Got a mixed breed? No problem, the Dog Scanner app also recognizes mixed breeds!

keras numpy opencv python

Last synced: 06 Apr 2026

https://github.com/priyanshulathi/cancer-diagnosis-prediction-model

A Machine Learning project to predict cancer malignancy using K-Nearest Neighbor, Support Vector Machine, and Decision Tree algorithms.

machine-learning numpy pandas python scikit-learn

Last synced: 03 Jan 2026

https://github.com/barraharrison/seoul-bike-sharing

Performing EDA on a kaggle dataset to look at the distribution of Seoul's bike-sharing system

jupyterlab matplotlib numpy pandas python scikit-learn seaborn

Last synced: 23 Jul 2025

https://github.com/alphacrypto246/insurance-charges-prediction

The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and R².

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 03 May 2026

https://github.com/manuethomas/traffic-accident-analysis-us

The project provides a comprehensive analysis of traffic accidents in the US from 2016-2023 aiming to identify key factors contributing to accidents. The analysis also focussed on finding features that could be used to develop a predictive model

exploratory-data-analysis feature-engineering feature-selection matpllotlib numpy pandas seaborn

Last synced: 20 Mar 2025

https://github.com/mukhtarmid/data-science

This repository is for the knowledge of data science.

datascience eda numpy pandas

Last synced: 10 May 2026

https://github.com/chaitanyac22/cross_platform_product_mapping_algorithm_for_products

This repository contains a product ID mapping solution using TF-IDF vectorizer for weighted text vectors, Facebook AI Similarity Search (FAISS) for coarse filtering with cosine similarity, and Levenshtein distance for refined matching against the Blinkit catalog. Achieved 11.45% match for Zepto and 11.48% for Instamart.

exploratory-data-analysis faiss levenshtein-distance nlp numpy pandas similarity-search tf-idf-vectorizer

Last synced: 20 Mar 2025

https://github.com/elijah-1994/modelling-airbnbs-property-listing-dataset

Training and Evaluating classification and regression model use cases on the Airbnb dataset.

data-science machine-learning numpy pandas plotly python pytorch sklearn

Last synced: 10 Apr 2026

https://github.com/ansh2709/customer-segmentation-ml-project

Project segregates the customers on the basis of their spending score and annual income using K-Means Clustering that is a part of unsupervised learning

clustering-algorithm k-means-clustering machine-learning matplotlib-pyplot numpy pandas python unsupervised-machine-learning wcss

Last synced: 01 May 2026

https://github.com/ashkarin/rawimage

Read and write RAW images (or data arrays) without a headache.

image-processing imagej ndarray numpy raw-data raw-image readers writers

Last synced: 28 Apr 2026

https://github.com/abdelrahman-amen/attendance_system

An AI-driven system leveraging real-time face recognition to automate attendance, ensuring accuracy, scalability, and seamless CSV logging of names and timestamps.

cmake cv2 dlib face-recognition numpy python

Last synced: 20 May 2026

https://github.com/ashish-kr-srivastava/olympic-games-eda---python

About Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.

data-visualization datacleaning eda matpotlib numpy pandas python seaborn seaborn-python

Last synced: 09 Apr 2026

https://github.com/dmarks84/ind_project_superstore-sales-time-series-analysis--kaggle

Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2.

chloropleth data-modeling data-visualization eda linear-regression matplotlib numpy pandas python seaborn sklearn statistics statsmodels supervised-ml time-series-analysis

Last synced: 09 Apr 2026

https://github.com/sultanazhari/factors-that-affect-vehicle-prices.

Crankshaft List Company want to know what the factors that affect to vehicles prices. As a data Analyst we're giving list of factor that affect with vehicle prices.

matplotlib-pyplot numpy python3 seaborn vehicles

Last synced: 11 May 2026

https://github.com/abhay-kanwasi/ml-learning

Discover a repository brimming with machine learning insights and projects. Dive into comprehensive documentation of ML concepts, algorithms, and techniques. Explore hands-on projects spanning sentiment analysis, image classification, recommendation systems, and more.

ml numpy pandas python recommender-system sklearn streamlit-webapp themoviedb-api

Last synced: 02 Apr 2026

https://github.com/hotequil/fish_classification

Identify the fish specie with Machine Learning.

classification fish keras numpy python tensorflow

Last synced: 27 Mar 2025

https://github.com/swat1563/recommendation-system

This repository features a recommendation system and analytics engine using datasets on users, organizations, contents, contacts, events, and recommendations. It includes data preprocessing, building a recommendation system, and creating visual reports with Power BI.

analytics data-analysis data-visualization engine kaggle numpy pandas powerbi powerbi-dashboards powerbi-desktop powerbi-reports python recommendation-engine recommendation-system recommender-systems scikit-learn scipy

Last synced: 07 Jan 2026

https://github.com/armandomtz05/optikit

Solution of the paraxial wave equations using different coordinates systems

fourier-transform holography numerical-methods numpy optics-code optics-simulation pillow

Last synced: 02 Feb 2026

https://github.com/bassemhalim/webrtc-demo

webrtc demo using aiortc library

numpy opencv python3 webrtc

Last synced: 09 Apr 2026

https://github.com/adityabadgotiya/facial-recognition-attendance-system

This Attendance System that uses facial recognition to automatically mark student attendance. It features admin and student logins, real-time face detection, attendance tracking, email reporting, and secure password management. Built with Python (Tkinter, OpenCV, and Pillow), it replaces manual attendance with automated facial verification.

hashlib numpy opencv pandas pillow python sha-256-hash smtplib tkinter-gui

Last synced: 12 Aug 2025

https://github.com/eljandoubi/disasterresponsepipeline

Project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.

flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy

Last synced: 09 Apr 2026

https://github.com/armahdavi/analytics_statistics_ML_plotting_dust_extraction_hvac_filters_ph2

PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available

data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics

Last synced: 17 Sep 2025

https://github.com/armahdavi/data_pipeline_analytics_statistics_ML_PM_PSD_residential_QFF

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 17 Sep 2025

https://github.com/danwild/bike-share-prediction

Predict bike sharing time-series with numpy for Deep Learning

artificial-intelligence artificial-neural-networks deep-learning neural-network numpy

Last synced: 16 May 2026

https://github.com/adnaen/water-quality-analysis

End-to-end Ground Water Quality Prediction app using Streamlit.

classification-model machine-learing matplotlib notebook numpy pandas plotly python sklearn streamlit

Last synced: 30 Dec 2025

https://github.com/vinit-source/csl7382-medical-image-clustering-assignment.py

The IPython notebook contains the questions as well as the related code. Only numpy has been used.

bioimage-analysis kmeans-clustering numpy slic spectral-clustering

Last synced: 22 May 2026

https://github.com/gitw1n/japandemographicsinsights

JapanDemographicsInsights is an ongoing project aimed at providing comprehensive insights into the demographic trends of Japan. The project is focused on analyzing and visualizing population data, age distribution, migration patterns, birth and death rates, and other related demographic factors that shape the current and future landscape of Japan.

indevelopment jypyternotebook numpy python3 scientific-visualization

Last synced: 11 May 2026

https://github.com/abeertechcamus/documentdata

The dataset was cleaned and queried using Python inside Jupyter Notebook and visualizes using PowerBI Document Data Analysis Projects

dax jupyter-notebook numpy pandas powerbi python

Last synced: 04 May 2026

https://github.com/hadson0/dip-candy-classification

Candy classification project using digital image processing. Includes dataset creation, model development, and evaluation tools with TensorFlow, OpenCV, and Albumentations. Complete setup and instructions provided for building and training the model.

albumentations bounding-boxes cnn computer-vision cvat image-classification image-processing keras machine-learning matplotlib numpy opencv python seaborn sklearn tensorflow

Last synced: 29 Sep 2025

https://github.com/dakshsammi/arkaid

Arkaid is a game performance analytics platform developed for the Information Integration Architecture Course - CSE656 (IIIT Delhi). It uses a data warehouse approach to analyze gaming data from multiple sources and provides insights via an AI-driven interface.

ai airflow aws database-management datawarehouse docker etl flask information-integration numpy openai postgresql python togetherai

Last synced: 09 Apr 2026

https://github.com/harmanveer-2546/campus-placement-prediction

Student Campus-Placement Prediction ML Project using Python

decision-trees machine-learning matplotlib numpy python random-forest scipy seaborn

Last synced: 08 Mar 2026

https://github.com/roluochke/real-estate-price-prediction-app

This is a data science project for a real estate price prediction website.

flask html-css-javascript jupyter-notebook matplotlib numpy python sklearn

Last synced: 09 Apr 2026

https://github.com/anas436/exploratory-data-analysis-of-cars

Exploratory Data Analysis of Cars in Python

matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/dsowles/miniproject1davidsowles2025

INF601 Mini Project 1

numpy yfinance

Last synced: 16 May 2026

https://github.com/riyajain255/customer-segmentation-for-e-commerce

This project analyzes online retail data to segment customers using K-Means clustering and build classification models to predict those segments based on purchasing behavior.

customer-segmentation data-analysis kmeans-clustering logistic-regression machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn-plots

Last synced: 02 Apr 2026

https://github.com/abyshergill/ultralytics_yolo_object_detection_testing_gui

This is a desktop application for real-time object detection using the YOLO (You Only Look Once) model build with ultralytics libarary. It's built with PyQt5 for the graphical user interface and OpenCV for video and image processing. The application allows users to load a YOLO model, adjust detection settings, and perform object detection on media.

numpy opencv-python pytorch qt5-gui threading ultralytics yolo

Last synced: 08 May 2026

https://github.com/prachi005748/website-performance-data-analysis-project

Briefly describe the objective of the project—e.g., analyzing website performance metrics over time, uncovering trends in user engagement, or evaluating channel-wise traffic quality.

data-analyst data-cleaning data-preprocessing data-visualization data-visualization-python exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn storytelling

Last synced: 01 May 2026

https://github.com/samiksha29-patil/e-commerce-sales-insights-dashboard

This project focuses on analyzing e-commerce sales data through data visualization. It highlights customer behavior, popular sales channels, product category trends, and city-wise performance to provide actionable business insights.

analytics customer-insights data-visualization ecommerce matplotlib numpy pandas python sales-analysis seaborn

Last synced: 03 May 2026

https://github.com/princeoncada/quant-pca-risk

Applies Principal Component Analysis (PCA) to daily returns of 20 US equities (2015–2025) to uncover hidden risk factors. Explores variance explained, scree, loadings, factor returns, covariance reconstruction, and Varimax rotation. Results show 3–5 PCs capture ~75% of portfolio risk.

correlation-analysis covariance-matrix dimensionality-reduction factor-models matplotlib numpy pandas pca portfolio-risk principal-component-analysis python quantitative-finance time-series-analysis variance varimax

Last synced: 06 May 2026

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