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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/gusenov/max-empty-rect-py

:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.

algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection

Last synced: 15 Oct 2024

https://github.com/jjerphan/joml

A minimalist numpy-baked Neural Network API

deep-learning fun minimalist neural-network neural-networks numpy python wheel-implementing

Last synced: 28 Oct 2024

https://github.com/elmezianech/email-spam-ham-classifier-lr

Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.

ai emails jupyter-notebook logistic-regression machine-learning ml numpy pandas python spam-detection spam-filtering tfidfvectorizer

Last synced: 15 Nov 2024

https://github.com/elmezianech/email-spam-ham-classifier-nb-simple

Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.

countvectorizer emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering

Last synced: 15 Nov 2024

https://github.com/elmezianech/email-spam-ham-classifier-nb-hard

Naive Bayes Email Classifier: An implementation of a 'hard' Naive Bayes classifier in Python to categorize emails as spam or ham. This code performs extensive data preprocessing, probability calculations, and model training for email classification using the raw Naive Bayes algorithm.

ai emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering

Last synced: 15 Nov 2024

https://github.com/elmezianech/classifyreviews_nlp

Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.

accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc

Last synced: 15 Nov 2024

https://github.com/mehraaaaa24/stockpriceprediction

A real-time web app that predicts stock prices using an LSTM model, visualizes data with moving averages, and allows user input for stock symbols.

jupyter-notebook keras lstm-neural-networks matplotlib numpy pandas python streamlit tensorflow yfinance

Last synced: 31 Oct 2024

https://github.com/hunar4321/multiple-regression

A simple intuitive method for multiple regression

linear-regression multiple-regression numpy regression

Last synced: 14 Nov 2024

https://github.com/prakharagr2001/whatsappchatanalyzer

WhatsAppChat Analyzer is a Python-powered website leveraging the capabilities of NumPy, Pandas, and Streamlit. It provides comprehensive analysis of WhatsApp conversations, extracting valuable insights and statistics for a user-friendly interpretation of chat data.

chat-analysis data-visualization numpy pandas python streamlit whatsapp-chat

Last synced: 31 Oct 2024

https://github.com/nightmachinery/mlp_from_scratch

A simple MLP using only numpy. The computational graph is not automatically tracked, but the network supports arbitrarily many batch axes.

deep-learning deep-neural-networks deeplearning educational mlp mlp-classifier mlp-networks numpy

Last synced: 08 Nov 2024

https://github.com/adi3042/sensor-fault-detection

🔍⚙️ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! 🚨🔧 SensorFaultTech

classification css datetime fault-detection flask functools html ipykernel jupternotebook machine-learning numpy pandas python3 readme regression scikit-learn sensor setuptools venv

Last synced: 08 Nov 2024

https://github.com/adi3042/diamond_price_prediction

🔮💎 Explore the Diamond Price Oracle! Predicting diamond values based on your preferences and market trends. Your ultimate tool for informed decisions in the diamond world. Join us for the future of pricing! 💎✨🚀 #DiamondPredictor

anaconda datetime diamond flask functools html ipykernel jupyter-notebook matplotlib numpy pandas price-prediction readme regressor sckiit-learn setuptools venv

Last synced: 08 Nov 2024

https://github.com/gnikit/fileio

A template allowing to read multiple columns of tab or space delimited files. Similar functionality to numpy.loadtxt()

cpp file-io library numpy

Last synced: 15 Oct 2024

https://github.com/wassimoubaziz/sad-project

This project aims to predict weekly sales for Walmart stores using machine learning algorithms. The dataset contains various features such as store type, size, department, temperature, fuel price, CPI, unemployment rate, and markdowns.

ai artificial-intelligence machine-learning matplotlib numpy oubaziz pandas python sklearn wassim

Last synced: 19 Nov 2024

https://github.com/kenwuqianghao/ml-zoomcamp

Code and homework for ML Zoomcamp

machinelearning numpy pandas python3 tensorflow

Last synced: 07 Nov 2024

https://github.com/f3riend/color-palette

a system that counts and clusters the most common colors in images and produces a color palette.

clustering color-palette-generator filedialog kmeans machine-learning matplotlib-pyplot most-common-color numpy pillow python3 sklearn-library

Last synced: 19 Nov 2024

https://github.com/shwetapardhi/assignment-03-q4-hypothesis-testing

Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5

alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas python scipy significance-testing stats

Last synced: 15 Oct 2024

https://github.com/t3ac0d3/planetary-system-simulation

Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.

astronomy flask gravitational-dynamics numerical-analysis numpy physics planetary-systems scipy simulation web-application

Last synced: 01 Oct 2024

https://github.com/thkox/image-analysis_2023-content-based-image-retrieval

This project is a team assignment for the "Image Analysis" course, offered in the 7th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.

cartesian-product content-based-image-retrieval hyperedge-similarity-calculation hypergraph image-analysis matplotlib networkx numpy python rank-normalization scipy torchvision

Last synced: 01 Oct 2024

https://github.com/adi3042/credit-card-fault-detection

🔍💳 Secure Your Finances! Detect anomalies and safeguard transactions with our Credit Card Fault Detection system. Dive into cutting-edge classification techniques to identify fraud and protect financial data. Your journey to secure payments starts here! 🚨🔒 FraudDetectionTech

classification credit-card css datetime fault-detection flask functools html ipykernel jupyternotebooks machine-learning numpy pandas python3 readme scikit-learn setuptools venv

Last synced: 08 Nov 2024

https://github.com/sultanazhari/the-effect-of-weather-on-travel-frequency

Zuber Company need to know passenger preferences and external effect on the trip. As an Data Analyst we're provide actual data who has affect on travel frequency.

matplotlib-pyplot numpy python3 scipy seaborn

Last synced: 15 Oct 2024

https://github.com/thiagohrcosta/machinelearning-temperature

A Small Machine Learning application leveraging Scikit-Learn and statistical learning to extract knowledge from data without explicit programming.

machine-learning numpy pandas python3 scikit-learn

Last synced: 21 Oct 2024

https://github.com/fwcd/minq

Tiny quantum gate library based on NumPy

numpy python quantum-computing

Last synced: 21 Oct 2024

https://github.com/hansalemaos/create_empty_image

Creates new/empty cv2 images/numpy arrays

cv2 numpy python

Last synced: 28 Oct 2024

https://github.com/priyasingh26/financial_document-data_extraction

This project extracts key information from financial documents like invoices and receipts using text recognition. It processes images, classifies documents, and extracts data, which is then stored in a CSV file. The aim is to automate data collection from scanned documents, reducing manual work and increasing accuracy.

data-extraction numpy ocr pandas pillow preprocessing pytesseract-ocr python sklearn torch transformers

Last synced: 31 Oct 2024

https://github.com/bartventer/ann-loan-default-profiler

Artificial Neural Network built with Tesorflow to predict whether new customer application will repay or default on a new loan.

artificial-neural-network data-visualisation deep-learning exploratory-data-analysis numpy pandas pipelines scikit-learn tensorflow2

Last synced: 06 Nov 2024

https://github.com/techcsispit/algorithmic-trading

This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.

matplotlib numpy pandas python sklearn

Last synced: 31 Oct 2024

https://github.com/ebadshabbir/logistic_regression-binomial-

Logistic Regression on Social Network Ads Dataset This project applies Logistic Regression to predict whether a user will purchase a product based on their age and estimated salary, using the Social Network Ads dataset. The data is split into training and test sets, with feature scaling applied for normalization.

classification jupyter-notebook logistic-regression machine-learning matplotlib-pyplot numpy pandas python sklearn

Last synced: 31 Oct 2024

https://github.com/datascience-py/speechrecognition

This repo create STT (ASR) models for you can use pre-training models or training self model

asr machine-learning matplotlib microphone models neural-network numpy python3 pytorch sklearn speech-recognition speech-to-text stt tensorflow-lite tensorflow2 web

Last synced: 31 Oct 2024

https://github.com/adi3042/diamond-price-prediction

🔮💎 Explore the Diamond Price Oracle! Predicting diamond values based on your preferences and market trends. Your ultimate tool for informed decisions in the diamond world. Join us for the future of pricing! 💎✨🚀 #DiamondPredictor

anaconda datetime diamond flask functools html ipykernel jupytrnotebooks matplotlib numpy pandas price-prediction readme regression sckiit-learn setuptools venv

Last synced: 08 Nov 2024

https://github.com/hansalemaos/colorcountcython

This module provides functionality to count unique colors in an image represented as a NumPy array and, optionally, group their coordinates. It includes a Cython-based implementation for improved performance.

colors colour colours count cv2 numpy

Last synced: 26 Oct 2024

https://github.com/technologicat/orderfix

Reorder solutions of parametric studies to make continuous curves

cython eigenvalues numpy postprocessing python python2 python27 python3 python34

Last synced: 07 Nov 2024

https://github.com/alainlebret/python-et-ia-1

Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN

artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn

Last synced: 31 Oct 2024

https://github.com/alainlebret/python-et-ia-2

Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN

artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn

Last synced: 31 Oct 2024

https://github.com/gaurangdave/house_price_predictions

Machine Learning Application to predict House Prices

hands-on learning-by-doing machine-learning numpy pandas python scikit-learn

Last synced: 31 Oct 2024

https://github.com/ashishsingh789/bcg_virtual_internship

This repository showcases my BCG X virtual internship project on customer churn analysis for PowerCo, covering business understanding, EDA, feature engineering, and modeling using Python and machine learning.

data-manipulation data-science dataanalysis datavisualization eda machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/jainish-prajapati/solar-flare-prediction

This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.

data-visualization machine-learning numpy pandas python scikit-learn solar-flare-prediction

Last synced: 31 Oct 2024

https://github.com/karthikarajagopal44/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.

data-cleaning data-visualization matplotlib numpy pandas python python3 scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/gurramankit/censusproject_ml_randomforest

The objective of this project is to build a classification model using the Census Income dataset from the UCI Machine Learning Repository. The model predicts whether an individual's income exceeds $50,000 per year, based on their demographic and employment-related attributes.

matplotlib numpy pandas python random-forest scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/abdulsamie10/pythonbasics

This repository contains few tasks, which I developed just to get a strong grip on Python Programming Langauge.

ai labtasks lambda numpy python pythonlab

Last synced: 07 Nov 2024

https://github.com/0nom4d/308reedpipes

Mathematical EPITECH Project - This project computes a representation of a reedpipe.

coverage epitech epitech-project matplotlib-pyplot numpy pytest python scipy

Last synced: 26 Oct 2024

https://github.com/0nom4d/306radiator

Mathematical EPITECH Project - This project reproduces the behaviour of a radiator placed at a position in a room of a given size.

epitech epitech-project numpy pytest python3

Last synced: 26 Oct 2024

https://github.com/dulajkavinda/document-similarity-ml

📑 Check similarity between documents using td-idf and cosine similarity.

machinelearning numpy python scikit

Last synced: 26 Oct 2024

https://github.com/sahiltiwariiii/dssp

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit

Last synced: 08 Nov 2024

https://github.com/shwetapardhi/assignment-1-q7--basic-statistics-level-1

Q7) Calculate Mean, Median, Mode, Variance, Standard Deviation, Range & comment about the values / draw inferences, for the given dataset For Points,Score,Weigh> Find Mean, Median, Mode, Variance, Standard Deviation, and Range and also Comment about the values/ Draw some inferences. Use Q7.csv file

mean median mode numpy pandas python range standard-deviation variance

Last synced: 11 Nov 2024

https://github.com/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv

kurtosis matplotlib-pyplot numpy pandas python seaborn skewness

Last synced: 11 Nov 2024

https://github.com/shwetapardhi/assignment-1-q9_a--basic-statistics-level-1

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data Cars speed and distance Use Q9_a.csv

kurtosis matplotlib-pyplot numpy pandas python seaborn skewness

Last synced: 11 Nov 2024

https://github.com/shwetapardhi/assignment-1-q11--basic-statistics-level-1

Q11) Suppose we want to estimate the average weight of an adult male in Mexico. We draw a random sample of 2,000 men from a population of 3,000,000 men and weigh them. We find that the average person in our sample weighs 200 pounds, and the standard deviation of the sample is 30 pounds. Calculate 94%,98%,96% confidence interval?

confidence-interval normalization numpy pandas python scipy stats

Last synced: 11 Nov 2024

https://github.com/dyarleniber/hands-on-machine-learning

This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by Aurélien Géron.

ai artificial-intelligence keras machine-learning matpolotlib numpy pandas scikit-learn tensorflow

Last synced: 14 Nov 2024

https://github.com/rafali25/perceptron-algorithm

A simple implementation of the Perceptron algorithm using numpy. This project demonstrates how to classify data points by iteratively updating weights and biases based on misclassified samples. Perfect for understanding the fundamentals of linear classification!

machine-learning numpy perceptron-neural-networks pycharm-ide python

Last synced: 26 Oct 2024

https://github.com/nicolasperez19/mic-master-flex

MicMasterFlex is a web app that allows users to configure the positions of a microphone array on an interactive grid. Designed for audio engineers and researchers, this tool offers an intuitive interface for precise microphone placement, enabling users to simulate and optimize array setups for various acoustic applications.

ai astro audio-processing grid-configuration microphone-array numpy numpy-arrays react robotics tailwindcss typescript

Last synced: 27 Oct 2024

https://github.com/matimortari/shakespeare

Train and generate a Shakespeare-based text using an LSTM (Long Short-Term Memory) model.

keras lstm neural-network numpy python shakespeare tensorflow

Last synced: 03 Nov 2024

https://github.com/ashishtukaral/sign-language-recognition-using-ai

A real-time Sign Language Recognition system using AI to translate hand signs into text and speech, enhancing communication for individuals with hearing impairments. This web application leverages neural networks and computer vision to provide accurate and accessible translation.

ann classification cnn computer-vision deep-learning flask keras machine-learning matplotlib neural-network numpy oops opencv pandas python3 tensorflow

Last synced: 03 Nov 2024

https://github.com/ghaniketrajputp005/adobe-gensolve-hackathon-2024

This Project aims to identify, regularize, and beautify curves in 2D Euclidean space.

cv2 keras-tensorflow numpy os sklearn

Last synced: 10 Oct 2024

https://github.com/giuliotaralli/machine-learning-exercises

Practical exercises from the Machine Learning course

graphviz matplotlib numpy pandas python scipy sklearn

Last synced: 10 Oct 2024

https://github.com/rijul007/smartwatch-data-analysis-using-python

Smartwatch Data Analysis to uncover insights into health and activity patterns using Python for data cleaning, exploratory analysis, and interactive visualizations.

data-analysis data-science data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python

Last synced: 08 Nov 2024

https://github.com/mihirh19/uber-analysis

Uber's 2016 dataset analysis offers insightful information about the company's operations and user behaviour. Patterns and trends can be discovered by looking at variables like trip time, distance travelled, and pickup/drop-off locations. Uber may use this information to detect high-demand locations, increase overall efficiency, and optimise driver

matplotlib numpy opendatasets pandas seaborn

Last synced: 27 Oct 2024

https://github.com/charles-l/rayboi

a raytracer written in futhark/python

futhark numpy pathtracing python3 raytracing

Last synced: 08 Nov 2024

https://github.com/massimilianovisintainer/rock-vs-mine-prediction

Rock vs. Mine classification using Logistic Regression

machine-learning model numpy pandas sklearn

Last synced: 03 Nov 2024

https://github.com/estaheri7/dotawinpredictor

This project aims to predict the outcome of Dota 2 matches based on the heroes picked by both the Radiant and Dire teams

data-science dota2 machine-learning numpy pandas python random-forest sklearn support-vector-machines

Last synced: 10 Oct 2024

https://github.com/amiriiw/digit_classification

Welcome to the Digit Classification Project! This project focuses on training a model to classify handwritten digits and using the trained model to predict digits from new images.

digit-classification keras mysql mysql-database numpy os sklearn tensorflow

Last synced: 03 Nov 2024

https://github.com/offthetab/matcha_code_generation

Fine-tunning MatCha model for better python matplot lib code generation by given chart.

fine-tuning huggingface matcha matplotlib numpy pandas pil sklearn torch

Last synced: 03 Nov 2024

https://github.com/sudarsann27/basic_machine_learning_algorithms

Basic Machine learning algorithms using scikit-learn and other fundamental libraries

data-science data-visualization ensemble-model kaggle numpy pandas scikit-learn supervised-machine-learning

Last synced: 03 Nov 2024

https://github.com/anselmoo/useful-math-functions

useful-math-functions for Optimization, Benchmarking, Visualizing, and more ...

basic functions math mathematics numpy

Last synced: 27 Oct 2024

https://github.com/ieCecchetti/Python_ML_DL_examples

A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme

bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi

Last synced: 23 Oct 2024

https://github.com/shwetapardhi/assignment-04-simple-linear-regression-1

Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi

correlation-analysis data-visualization distplot eda feature-engineering model-building model-prediction model-testing numpy ols-regression p-value pandas python regression-plot rsquare-values seaborn simple-linear-regression smf statsmodel t-score

Last synced: 11 Nov 2024

https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t

collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score multi-linear-regression numpy ols-regression p-value pair-plot python r-square-values regress-exog residual-analysis smf statsmodels vif

Last synced: 11 Nov 2024

https://github.com/shwetapardhi/assignment-03-q1--hypothesis-testing

Q1.A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit

hypothesis-testing numpy p-value pandas python scipy significance-testing stats t-test

Last synced: 11 Nov 2024

https://github.com/jhonatanthiago/projeto_analise_de_dados_com_python

A empresa contratou você para analisar dados de mais de 800 mil clientes, a maioria dos quais são inativos, ou seja, já cancelaram o serviço. O objetivo é entender os principais motivos desses cancelamentos e identificar as ações mais eficazes para reduzir esse número.

jupyter-notebook nbformat numpy openxyl pandas plotly python

Last synced: 16 Nov 2024

https://github.com/mahmoudnamnam/superstore-analysis

This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance.

clustering data-analysis data-science data-visualization geopandas jupyter-notebook machine-learning numpy pandas plotly regression seaborn sklearn

Last synced: 16 Nov 2024

https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2

Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-template numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statsmodels t-score

Last synced: 11 Nov 2024

https://github.com/miasanromen/math-modeling

Math modeling with Python. Statistics, math, graphics

math matplotlib numpy probality-theory scipy-stats statistics

Last synced: 08 Nov 2024

https://gitlab.com/Makman2/scipy-steadystate

SciPy extension modules for general purpose steady-state solvers and optimizations for differential state-equations!

numpy optimization scipy steady-state

Last synced: 30 Sep 2024

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