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Awesome

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/nemeslaszlo/dog_breed_identification

Dog breed identification model to identify and label 120 different dog breeds.

matplotlib numpy pandas tensorflow tensorflow-hub

Last synced: 13 Apr 2026

https://github.com/epsoft/ner

NER

ner numpy pandas

Last synced: 04 May 2026

https://github.com/harmanveer-2546/dust-detection-on-solar-panel-using

The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.

classification dirty inceptionv3-model keras numpy pandas plotly python regularizer sequential solar-panels tensorflow visualization

Last synced: 13 Apr 2026

https://github.com/screamman-ssh/facemousecontrol

This project is about using your nose tip for the mouse's cursor and open your mouth for the left click.

autopy computer-vision face-detection mediapipe-facemesh mouse numpy opencv python python-3-7 ui

Last synced: 13 Apr 2026

https://github.com/harmanveer-2546/supply-chain

Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.

customer-segmentation-analysis data data-analysis data-cleaning data-insights ggplot2 numpy pandas performance-evaluation predictive-analytics-for-business python risk-assessment sales-analysis statistical-analysis supply-chain tidyverse trend-analysis

Last synced: 10 Apr 2026

https://github.com/aahad91/idv

Interactive Data Visualization - Master Course

matplotlib numpy pandas plotly python3

Last synced: 08 May 2026

https://github.com/otivedani/hedge_hog

Histogram of Oriented Gradients, full numpy

feature-extraction histogram-of-oriented-gradients hog-features numpy

Last synced: 13 Apr 2026

https://github.com/tasninanika/k-nearest_neighbors

K-Nearest Neighbors (KNN) is a simple and powerful machine learning algorithm used for classification and regression.

knn matplotlib numpy pandas python3 seaborn

Last synced: 13 Apr 2026

https://github.com/vitroid/tilecycles

Tessellate a graph into cycles.

genice2 graph numpy tiling

Last synced: 27 Feb 2025

https://github.com/mtgsoftworks/blink-detecion-player

It is a software that has the ability to stop and play the videos watched on youtube and rewind when the eyes of this software are closed and opened.

dlib numpy opencv-python python3 scipy selenium-webdriver

Last synced: 13 Apr 2026

https://github.com/iv4n-ga6l/OpenPose-Prediction

Person's body parts or joint position detection using openCV

detection numpy opencv prediction prediction-model python

Last synced: 28 Apr 2025

https://github.com/ngirimana/decision-trees-and-random-forest-

For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).

artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn

Last synced: 11 Apr 2026

https://github.com/aarryasutar/credit_eda

This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.

binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 13 Apr 2026

https://github.com/dipeshgoyal013/ipl_win_probability

A project which help you to check win probability of batting team in inning 2nd

machine-learning matplotlib numpy pandas python sklearn

Last synced: 05 Feb 2026

https://github.com/aymen016/image-processing-algorithms

Explore Python-based image processing from scratch with core algorithms like interpolation, convolution, and filtering!

matplotlib numpy pillow python

Last synced: 13 Apr 2026

https://github.com/imswappy/brain-tumor-detection

🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.

kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model

Last synced: 13 Apr 2026

https://github.com/Krisseck/hki-traffic-predict

Keras neural network to predict traffic in Helsinki

avoindata helsinki keras numpy open-data python traffic

Last synced: 13 Jul 2025

https://github.com/programmer-rd-ai/dimensionality-reduction

DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.

analytics data-analysis data-science lightgbm machine-learning matplotlib numpy pandas programming python python3 sklearn university xgboost

Last synced: 01 Mar 2025

https://github.com/moataz-elmesmary/analog-clock-opencv

Computer vision project implemented with OpenCV

computer-vision cv2 numpy opencv

Last synced: 07 May 2026

https://github.com/varun-khorgade/churnshield-customer-retention-predictor

Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.

classification-algorithm datapreprocessing f1-score feature-engineering hyperparameter-tuning logistic-regression matplotlib model-evaluation numpy pandas python ran roc-auc scikit-learn seaborn xgboost

Last synced: 07 May 2026

https://github.com/hossein-cod/deep-learning-for-training

Analysi hear disease data set with deep learning

accuracy chart jupyter keras matplotlib numpy pandas py python sklearn tensorflow

Last synced: 09 Mar 2026

https://github.com/datarohit/date-fruit-classification

This is Date Fruit Data taken from Kaggle. This data severs a classification problem to solved. Using various features of the fruit classify the fruit to its type.

classification logisticregression numpy pandas python3 standard-scaler

Last synced: 13 Apr 2026

https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis

This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.

backend clustering flask frontend kmeans-clustering matplotlib numpy pandas python rfm-analysis scikit-learn unsupervised-learning

Last synced: 16 Feb 2026

https://github.com/gauravsakure02/python_libraries

Data Analysis using Python libraries

matplotlib numpy pandas-library streamlit

Last synced: 14 Apr 2026

https://github.com/imaginesamurai/advanced-vision-system

A Python-based camera handling utility that provides seamless control over video capture with advanced zoom functionality. Features include adjustable resolution, smooth digital zoom controls, and efficient frame processing, ideal for computer vision applications.

camera computer-vision cv2 cv2-library night-vision night-vision-camera night-vision-goggles numpy opencv opencv-python python python3 real-time realtime stable supoort thermal thermal-camera thermal-images video

Last synced: 16 Apr 2026

https://github.com/faisal-khann/comprehensive_banking_portfolio

This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.

data-manipulation eda matplotlib numpy pandas powerbi python seaborn

Last synced: 20 Apr 2026

https://github.com/savernish/forgenn

forgeNN is a in-development purpose‑built neural network framework combining a transparent NumPy autograd engine with a Keras‑like API and performance oriented primitives. Developed by a college student with an ambitious feature pipeline.

artificial-intelligence deep-learning keras machine-learning mlp-networks neural-network numpy pytorch tensorflow tensors

Last synced: 08 Oct 2025

https://github.com/kshitijshrivastava1903/neural_network_analysis_on_lending_club-dataset

Used tensorflow's neural network model to predict whether or not a person pays back a loan on the basis of his historical data and personal details of 3.9 lakh people like interest rate, employment details, address, etc.

deep-learning dropout-keras earlystopping keras-tensorflow matplotlib-pyplot neural-networks numpy pandas seaborn tensorflow-models

Last synced: 18 Feb 2026

https://github.com/rish-16/linearly

Discount NumPu implementation using barebones Linear Algebra concepts

linear-algebra numpy

Last synced: 19 May 2026

https://github.com/harmanveer-2546/diabetes-prediction-using-machine-learning

Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.

adaboost decision-trees gradient-boosting-classifier gridsearchcv knn-classification machine-learning numpy os pandas pickle python random-forest seaborn svc-model

Last synced: 14 Apr 2026

https://github.com/smusab9152/pokemon_data_analysis

This repo that explores and analyzes a dataset of Pokémon attributes. The analysis includes data cleaning, exploratory data analysis (EDA), and visualizations .

analytics data-analysis data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas pokemon python seaborn statistical-analysis

Last synced: 02 May 2026

https://github.com/bursasha/deeplearningai-machine-learning-tensorflow-course

Projects and certificates from a machine learning course focused on TensorFlow and Keras, covering neural networks, CNNs, NLP, and time series analysis 🧠

convolutional-neural-networks deeplearning-ai keras machine-learning mlcourse natural-language-processing neural-networks numpy pandas python-machine-learning recurrent-neural-networks tensorflow

Last synced: 10 Apr 2026

https://github.com/the-developer-306/house-price-predictor

House Price Predictor: Harnessing machine learning algorithms to forecast housing prices in Boston, empowering buyers and sellers with accurate predictions based on key factors like location, crime rate, rooms, accessibility, and more.

csv ipynb-jupyter-notebook joblib matplotlib numpy pandas python scikit-learn

Last synced: 23 Feb 2026

https://github.com/harmonicode/image-mixer

A PyQt5-based application for real-time image processing and reconstruction using frequency components like magnitude, phase, real, and imaginary parts. Adjust brightness and contrast, and mix images with ease.

fourier-transform image-processing numpy opencv pyqt5 python signal-processing

Last synced: 13 Mar 2026

https://github.com/avinesh-masih/employee-report-generator

A Python-based tool that reads employee and purchase data from Excel, generates personalized PDF reports using FPDF, and organizes them into folders. Includes a progress bar for tracking report generation.

excel flask fpdf matplotlib numpy pandas python seaborn

Last synced: 03 May 2026

https://github.com/kavithma-thushal/machine-learning-room-gdse66

Welcome to the Machine Learning Room GDSE66 project! This resource is dedicated to exploring machine learning concepts, where we build and experiment with various models to solve real-world problems.

docker flask jinja2 jupyter-notebook numpy pandas python

Last synced: 14 Apr 2026

https://github.com/mark0011astra/simplecuda

CUDAを使用したGPU演算をNumPyと同様のインターフェースで簡単行えるライブラリ。A library that allows users to easily perform GPU operations using CUDA with a NumPy-like interface.

cuda cupy gpu machine-learning numpy python vector

Last synced: 02 May 2026

https://github.com/nissanjk/linear-solver

A Python desktop application to solve systems of linear equations using various numerical methods.

anaconda3 fpdf imageio matplotlib numpy python3 tkinter

Last synced: 16 May 2026

https://github.com/garcane/Income-Prediction-ML

This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.

data data-science machine-learning ml numpy pandas python random-forest scikit-learn

Last synced: 24 Oct 2025

https://github.com/socaity/media-toolkit

Web-ready standardized file processing and serialization. Read, write, convert and send files. Including image, audio, video and any other file. Easily convert between numpy, base64, bytes and more.

base64 bytesio fast-task-api httpx image-processing json numpy serialization video

Last synced: 27 Oct 2025

https://github.com/cedricstrolz/digitalisierung-statistik-ws24

Hier handelt es sich NICHT um Lösungen sondern Lernunterlagen

matplotlib numpy pandas python statistics

Last synced: 25 Feb 2026

https://github.com/g0r0kh/forecast

layouts statistical analys for forecasting

matplotlib numpy pandas

Last synced: 30 Jan 2026

https://github.com/abhihirekhan/abhi-s-data-science-portfolio

A list of data science projects completed by me for academic, self learning, and creative purposes

datascience ipynb-jupyter-notebook jupyter jupyter-kernels jupyter-notebook keras-tensorflow machine-learning numpy pandas portfolio python tensorflow

Last synced: 31 Jan 2026

https://github.com/miltiadiss/ceid_ne562-data-mining-and-machine-learning-algorithms

This project involves analyzing a dataset through statistics and visualizations to uncover patterns & correlations. It trains classifiers (Neural Networks, Random Forests, Bayesian Networks) to predict physical activities and evaluates their performance. Finally, it clusters participants' activities using 2 algorithms, comparing their effectivenes.

matplotlib numpy pandas seaborn sklearn sklearn-metrics

Last synced: 15 Apr 2026

https://github.com/meghajbhat/photo-editor

This is a Photo Editor Application with various image processing functionalities using Tkinter for the GUI and OpenCV for image manipulation. The application allows users to apply multiple filters and transformations to images such as Black and White, Pencil Sketch, Sepia, Crop, Sharpen, Contrast, X-ray, and Brighten.

gui numpy opencv opencv-python python python3 tkinter tkinter-gui tkinter-python

Last synced: 31 Jan 2026

https://github.com/dipto1971/statistical-analysis-data-science

Statistical Analysis in Data Science

numpy pandas tensorflow

Last synced: 15 Apr 2026

https://github.com/py-mp3/boston-comparing-regression-modules

A ipynb file that compares different regression modules in the sk.learnit library.

ipython-notebook numpy pandas python regression-models seaborn sklearn

Last synced: 09 Feb 2026

https://github.com/felixcharotte/housepredictions_tatahousing

Data science project of real estate price prediction website, deployed using a Flask server on AWS, incorporating machine learning for price prediction and a UX HTML/CSS/JavaScript for website building.

aws flask jupyter linear-regression numpy pandas python

Last synced: 09 Feb 2026

https://github.com/kimpro82/myinvestmentmodules

Someday these will be an integrated trading system, but not now. So I am sad.

investment monte-carlo-simulation numpy python r vba xing-api

Last synced: 10 Feb 2026

https://github.com/w86763777/numpynet

A simple Deep Learning framework powered by numpy.

backpropagation cnn deeplearning fundamental numpy python

Last synced: 11 Feb 2026

https://github.com/chandadiya2004/mnist-digit-classification

This repository demonstrates MNIST digit classification using deep learning. It includes a neural network model built with frameworks like TensorFlow to classify handwritten digits (0-9) from the MNIST dataset. The project covers data loading, preprocessing, model training, evaluation, and accuracy visualization.

confusion-matrix cv2 google-colab-patches keras matplotlib-pyplot numpy pillow python seaborn tensorflow

Last synced: 12 Feb 2026

https://github.com/sralter/sustainability_insights

A data analysis project that derived insights from an emissions dataset sourced from Climate TRACE.

duckdb eda matplotlib numpy pandas tableau

Last synced: 12 Feb 2026

https://github.com/muhammadabyaz/facial-recognition-based-attendance

Facial Recognition Based Attendance System

numpy open-cv pandas pyqt python3 qml supabase

Last synced: 12 Feb 2026

https://github.com/texnoforge/texnomagic

TexnoMagic library for digital Magic

gmm magic numpy python recognition scikit-learn scipy

Last synced: 03 Mar 2026

https://github.com/brandoncardoso/mnk

An MNK game library.

game mnk numpy python tictactoe

Last synced: 16 Apr 2026

https://github.com/korolev2512/compliance-audit

Program for optimizing a set of activities based on network planning and management methods

copy matplotlib networkx numpy openpyxl os pandas python3 tkinter

Last synced: 16 Apr 2026

https://github.com/drewstone/katz-centrality

Katz centrality of a wheelgraph

centrality graphs networks numpy

Last synced: 16 Apr 2026

https://github.com/ramamagarwal/mathematical-simulation-projects

This repository comprises my math modelling-based projects covering topics of Linear Algebra, Probability and Statistics.

matplotlib numpy python sympy

Last synced: 16 Apr 2026

https://github.com/yannbouyeron/genopy

Analyses génétiques et phylogénétiques pour les SVT

biopython genetique lycee numpy pandas phylogenie svt

Last synced: 04 Mar 2026

https://github.com/bsc-dom/npp2nvm

NumPy Persistence to Non-Volatile Memory

numpy nvm persistent-data-structure pmdk

Last synced: 04 Mar 2026

https://github.com/gauravsakure02/project_titanic_eda

This Project includes Exploratory Data Analysis of the Titanic Dataset

eda numpy pandas-dataframe sklearn-library

Last synced: 16 Apr 2026

https://github.com/datarohit/churn-prediction-for-bank

This Dataset has various information about customers of Bank. The Problem is that many customers tend to leave the bank so using the features give we have to predict whether a customer will leave the Bank or Not.

churn-prediction classification matplotlib-pyplot numpy pandas seaborn sklearn

Last synced: 17 Apr 2026

https://github.com/mikelane/neuralnetwork

A neural network implemented in python.

machine-learning matplotlib neural-network numpy python python3

Last synced: 17 Apr 2026

https://github.com/sun-data/ndfilters

Numba-accelerated, n-dimensional image filters.

filters image-processing n-dimensional numba numpy scientific-computing scipy

Last synced: 06 Mar 2026

https://github.com/m-rishab/credbet

A loan prediction web app which tells You that you are eligible for loan or not!

decision-tree-classifier matplotlib numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/uni-creator/handwritten_number_recognition_system

A Handwritten Number Recognition System built from scratch using Deep Learning from Scratch. The model is trained on digit images and can classify handwritten numbers with high accuracy.

computer-vision deep-learning handwritten-digit-recognition image-processing implementation-from-scratch minst nueral-networks numpy pandas pytorch

Last synced: 17 Apr 2026

https://github.com/carmoreno/analisisaccidentalidadbogota

Data Analysis about traffic accidents at Bogotá, Colombia.

data-analysis data-science jupyer-notebook matplotlib numpy pandas scikit-learn

Last synced: 17 Apr 2026

https://github.com/juwono136/indonesia-negative-comment-lstm

Sentiment Analysis of Indonesian Negative Comments on Social Media Using Long Short-Term Memory (LSTM)

deep-learning-algorithms gradio-interface hugging-face lstm-sentiment-analysis nlp numpy python3 tensorflow

Last synced: 17 Apr 2026

https://github.com/mnitin-reddy/anomaly-detection-in-server-networks

This project implements an anomaly detection algorithm to identify failing servers in a network. The model is trained on a dataset with throughput and latency features, estimating parameters for anomaly detection. The approach is extended to a high-dimensional dataset, showcasing its effectiveness in detecting outliers and anomalies

anamoly data-science machine-learning matplotlib numpy pyhton seaborn

Last synced: 19 Apr 2026

https://github.com/gauravtrivedi967/mask_detection

In the present scenario due to Covid-19, there is no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. Also, the absence of large datasets of ‘with_mask’ images has made this task more cumbersome and challenging.

cv2 keras numpy os

Last synced: 18 Apr 2026

https://github.com/venky-1710/stress-level-predection

Stress Level Prediction is a web app using machine learning to estimate user stress levels. It takes inputs like anxiety, sleep quality, and academic performance, then predicts stress using a Decision Tree Classifier. Built with Python, Flask, and scikit-learn, it's useful for students, researchers, and those interested in stress management.

css flask html machine-learning numpy pandas python python-sklearn scikit-learn

Last synced: 05 Apr 2026

https://github.com/khaymanii/heart-disease-prediction-model

This repository contains a model built using python and Logistic Regression algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 18 Apr 2026

https://github.com/sreejabethu/cost-of-living-index-globally

This Streamlit app is a data visualization tool that allows users to explore and compare the cost of living indices across different countries. The app takes in a dataset of cost of living indices for various countries and provides an interactive interface for users to select specific indices and countries to visualize.

bargraphs costofliving costoflivingindex csv datavisualization index matplotlib-pyplot numpy pandas-dataframe plotly python seaborn streamlit-webapp

Last synced: 19 Apr 2026

https://github.com/teddylee777/data-exam

데이터 분석 연습문제 풀이

dataframe jupyter numpy pandas

Last synced: 19 Apr 2026

https://github.com/bielstela/connect-four

Numpy implementation of the game connect four (AKA four in a row)

game-2d numpy numpy-exercises python

Last synced: 19 Apr 2026

https://github.com/salmandeveloperz/student-performance-prediction-and-grade-classification

A Machine Learning Project that predicts student grade and performance from a Dataset. Copule of Libraries are used for data pre-processing, training model, heatmaps, trees and other Algorithms.

ann classification machine-learning metplotlib numpy pandas regression-models skilearn supervised-learning tensorflow unsupervised-learning

Last synced: 20 Apr 2026

https://github.com/sultanazhari/credit-scoring

A bank Company Wants to Analize their customer borrower defaults. as a Analyst we're giving the report of category and classification that have a big probability as a customer borrower default.

lending-bank numpy pandas phyton3 probability reporting

Last synced: 20 Apr 2026

https://github.com/lostvikx/data-analysis-py

Notes & Code following Python for Data Analysis textbook

data-analytics matplotlib notes numpy pandas

Last synced: 20 Apr 2026

https://github.com/gunjangyl/rainfall_prediction_system

The Rainfall Prediction System is a machine learning-based web application that forecasts rainfall based on weather parameters like precipitation, temperature, and wind speed.

bootstrap css django html javascript jupyter-notebook numpy pandas python

Last synced: 20 Apr 2026

https://github.com/fabrizio-ottati/misha

Simple and fast decoding of event cameras data to NumPy

c cpp event-ca neuromorphic numpy

Last synced: 20 Apr 2026

https://github.com/seungjaelim/scratchml

Implement neural network only using numpy

deep-learning machine-learning numpy

Last synced: 20 Apr 2026

https://github.com/gyanz/py-gpu-scripts

Sample python scripts for gpu processing

gpu numpy pysdl2 python vulkan

Last synced: 21 Apr 2026

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