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.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/isa1asn/plagiarism-detector
Plagiarism detection for Amharic language text
amharic cosine-similarity doc2vec fastapi gensim nlp numpy plagiarism-detection preprocessing stopwords-removal vector-embeddings
Last synced: 11 May 2026
https://github.com/platonn/comp-photography
Computational Photography course - University of Wroclaw
computational-photography image-processing numpy university-course
Last synced: 19 Jun 2026
https://github.com/djleamen/music-mood-matcher-demo
An intelligent music recommendation system that analyzes your mood through natural language and suggests personalized playlists using advanced AI and machine learning techniques.
demo machine-learning matplotlib ml natural-language-processing nlp nltk nltk-python numpy openai pandas python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/adityashinde716/liam-the-healthcare-chatbot
Made a healthcare chatbot Liam which will help you to detect your health problem and gives precautions.
csv numpy pandas python python3 random random-forest random-forest-classifier requests sklearn sklearn-library sklearn-model
Last synced: 05 May 2026
https://github.com/michael-insights/portfolio
This repository showcases my projects and skills in Data Analytics, Data Science, and Machine Learning. It includes hands-on work in data analysis, predictive modeling, and machine learning algorithms, aimed at solving real-world problems.
data-analytics data-science data-visualization datapreprocessing jupyter-notebooks machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn sql
Last synced: 11 Apr 2026
https://github.com/harmanveer2546/credit-card-fraud-detection
The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.
ann catboost eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xgboost
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https://github.com/prakhar-002/pandas-numpy
This repo covers NumPy & Pandas basics! ⚡ NumPy 🧮 for arrays & math operations, 🐼 Pandas 📊 for data handling with DataFrames & Series. 🚀 Includes practical examples 📝 for efficient data processing! 🔥
basics-of-python numpy pandas pandas-dataframe python-library python3
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https://github.com/m-aadhi/game-review-sentiment-analysis
This project aims to analyze and predict the sentiment of game reviews using natural language processing (NLP) and machine learning techniques. The objective is to determine whether a review is positive, negative, or neutral based on its content.
matplotlib numpy pandas-library python
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https://github.com/vochicong/ai-memo
Notebooks about machine learning (AI) math and tools
azure-notebooks colaboratory machine-learning math numpy
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https://github.com/gaurangdave/house_price_predictions
Machine Learning Application to predict House Prices
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https://github.com/ashraf-khabar/funcplot-plottingfunctionsmadeeasy
FuncPlot is a user-friendly app built with Kivy and KivyMD that allows you to easily plot and visualize mathematical functions on your desktop or mobile device. With its intuitive interface and support for multiple functions, FuncPlot makes it easy to explore and understand complex mathematical concepts.
kivy kivymd matplotlib numpy python
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https://github.com/hanzopgp/lstmcryptopriceprediction
TensorFlow LSTM neural networks which predict cryptocurrencies future prices. Starting from Sentdex's tutorial.
artificial-intelligence deep-learning lstm-neural-networks machine-learning matplotlib numpy personal recurrent-neural-networks tensorflow
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https://github.com/alicankaya192/deep_learning_path
Sıfırdan ileri seviyeye Deep Learning yol haritası. 11 modül: PDF + Python + Jupyter Notebook. NumPy · TensorFlow · PyTorch karşılaştırmalı implementasyonlar.
artificial-intelligence cnn data-science deep-learning gan jupyter-notebook lstm machine-learning neural-networks numpy python pytorch rnn tensorflow transformer
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Computational Physics MS Thesis
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A VTO
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https://github.com/babak2/synthea-data-analysis
Synthea Data Analysis
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https://github.com/ananas1kexe/clap-to-rickroll
A Python-based utility that detects double claps via microphone to automate system actions. It forces volume to 100% via ALSA and triggers a multi-tab browser prank. Uses NumPy for real-time acoustic sharpness analysis.
audio-processing automation claps-detection cybersecurity-prank dsp numpy python rickroll
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https://github.com/RsGoksel/Genetic-Algorithms
A Guide to Problems and Solutions on Genetic Algorithms
agent evolutionary-algorithms game game-solution genetic-algorithm genetic-algorithms gym neural-network numpy numpy-arrays pygame python stable-baselines3
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https://github.com/techassi/hfu-imgcomp
Image processing and computer graphics SOSE 22
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https://github.com/Zion-Dev1/E-commerce-Analysis
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analysis clustering ecommerce machine-learning numpy pandas sklearn
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https://github.com/smallgig/pickomino
Reinforcement Learning Environment with Gymnasium API
api ci coverage-testing gymnasium mypy numpy pip pre-commit pycharm pygame pylint pyright pytest pytest-cov python reinforcement-learning-environments ruff toml xenon
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https://github.com/shreeparab1890/flipkart-laptops-analysis-eda
This ipython notebook is the Exploratory data analysis (EDA) of the Laptops listed on Flipkart.
data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly
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https://github.com/ashishpatel8736/soq-solver-cramer
This project is a System of Equations Solver built using Cramer's Rule in Python with Streamlit. It allows users to input and solve systems of linear equations in real-time by visualizing them as matrices and generating solutions for variables 𝑥 , 𝑦 , 𝑧, etc.
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https://github.com/nolan-lwin/bells-palsy-ml-research
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https://github.com/nomadsdev/financial-trend-analyzer
FinancialTrendAnalyzer helps analyze and visualize sales data to uncover financial trends. It uses Python to calculate total sales, track changes, and generate insightful charts for better decision-making.
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https://github.com/pradipece/two_dimensional_data_visualization
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https://github.com/iv4n-ga6l/objects_detection_with_neural_network_training_visualization
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https://github.com/mohd-tahzeeb-khan/reverse_dcf-calculator-and-vistualization
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beautifulsoup bs4 dash dashboard dataframes flask numpy pandas plotly plotly-dash plotly-express python requests shares stock-market
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https://github.com/haidermalikk/neural-network-circuit-optimizer
The Neural Network Circuit Optimizer, built on my custom digital circuit simulator, uses AI and machine learning to optimize simple digital circuits. It leverages neural networks, circuit simulation, and optimization algorithms to reduce component count which improves: power usage, and execution time and efficiency. *Under Dev see Readme*
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https://github.com/bbergerud/faraday_complexity
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https://github.com/williyam-m/movie-recommendation-system
Developed a web app with a cosine similarity machine learning model for personalized recommendations based on user history, likes, bookmarks, and activity. Implemented user auth and CRUD operations for movies.
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https://github.com/thamirisq/data_analysis_culinary_journey
Project to analyze key information from Culinary Jorney, a marketplace Company, and develop an initial strategy to lead the entire team effectively.
folium-maps groupby-method jupyter-notebook markercluster marketplace-ds matplotlib-pyplot numpy pandas pandas-dataframe streamlit
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https://github.com/localhostpib/pythonplayground
Playground of destruction :-D
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https://github.com/ayaanjawaid/diwali-sales-analysis
The code file contains the Analysis of Diwali sales. Performed Exploratory Data Analysis (EDA) on Measure Values.
jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/iliatrofimov/linearsystems_solvers
Several methods of solving sistems of linear equasions
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data-visualization numpy pandas python sklearn streamlit
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Developing a Streamlit application that enables users to upload business card images and extract key details using easyOCR. The app allows users to manage the extracted data (view, update, delete) and securely stores it in a MySQL database. It also highlights extracted text directly on the business card image using Pillow.
easyocr mysql numpy pandas pillow python regular-expression streamlit
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https://github.com/mgobeaalcoba/linear_algebra_for_machine_learning
Explore fundamental linear algebra concepts essential for machine learning in this repository, with code examples and explanations. Get a solid foundation for ML!
machine-learning matplotlib numpy pandas python3 scikit-learn scipy seaborn
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https://github.com/rhazra-003/sketcher
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https://github.com/hernandemonteiro/host_national_search_2015
Análise Estatística da Pesquisa Nacional por Amostra de Domicílios
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https://github.com/Willie-Conway/Data-Science-Tools-and-Ecosystem
🧠 Explore essential Data Science 🧪 tools, 🧰 libraries, and 🐍 Python arithmetic basics — perfect for beginners!
data-science jupyter keras notebooks numpy pandas python pytorch
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https://github.com/michaelfeil/lstm-dlnn2020
Character-LSTM implementation in Numpy
lstm nlp-machine-learning numpy
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https://github.com/antonio-f/building_a_recurrent_neural_network_step_by_step
Building a Recurrent Neural Network Step by Step
coursera deep-learning long-short-term-memory lstm numpy recurrent-neural-networks rnn step-by-step tutorial
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https://github.com/amir78729/numpy-system-solution-detector
Linear Algebra course - First Project
echelon-form linear-algebra matrix numpy
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https://github.com/dulajkavinda/live-sketching
✍️ Converting live video stream from webcam into a sketch using OpenVC and Keras
added image-filtering keras machinelearning matplotlib numpy opencv python
Last synced: 10 Apr 2026
https://github.com/li-plus/tinynn
An educational PyTorch-like neural network framework based on NumPy
autograd deep-learning machine-learning neural-network numpy python
Last synced: 30 Apr 2026
https://github.com/anish202020/real-time-emotion-face-detection
The primary purpose of this website is to detect emotions in real-time using facial expressions captured via a camera.
fer keras numpy opencv python streamlit tensorflow
Last synced: 12 Apr 2026
https://github.com/mattdelaune/saas_cohort_analysis
This project analyzes customer segmentation and behavior using data science and cohort analysis. Key metrics like CRR, NRR, CLR, and CLV are examined through detailed charts, including the cohort layer cake and CLR vs. CLV cost efficiency analysis. Exploratory Data Analysis and systematic data manipulation reveal actionable insights.
anaconda git jupyter-notebook matplotlib numpy pandas python saas-data sales-data sales-data-analysis-project seaborn
Last synced: 03 Jan 2026
https://github.com/nikhilroxtomar/fully-connected-neural-network-in-numpy
This is an efficient implementation of a fully connected neural network in NumPy.
dnn neural-network numpy python3
Last synced: 22 Apr 2026
https://github.com/mchenryspagg/analysis-of-car-repair-shop-operations
This project presents a comprehensive data analysis of a car repair shop's operations, utilizing an extended dataset of sales receipts.
dataanalysisusingsql datavisualization matplotlib-pyplot mysql mysql-database mysqlconnector numpy pandas python salesanalysis seaborn sql
Last synced: 07 Jan 2026
https://github.com/lolosoares/dataanalises
This repository shows my projects made in my journey learning about data analises, ciency, engeniering and ML.
acces data-science dax excel mysql numpy pandas powerbi powerquery python r seaborn sql vba
Last synced: 10 Apr 2026
https://github.com/chr5tphr/funcache
Minimally cache python function outputs on disk!
cache disk functions hash memoization metrohash numpy python pytorch
Last synced: 21 Apr 2026
https://github.com/kelvinjuliusarmandoh/loan-approval-prediction
Implementing Machine Learning for predicting loan approval
classification loan-default-prediction machine-learning matplotlib-pyplot numpy pandas scikit-learn seaborn
Last synced: 01 May 2026
https://github.com/billgewrgoulas/hypothesis-testing-on-37-seasons-of-nba
First assignment for the course Data Mining @CSE.UOI
data-analysis data-science numpy scipy seaborn statistics
Last synced: 01 May 2026
https://github.com/hamdaniqhmqd/sistem-cerdas
I use this repository for my storage, especially in the intelligent systems course in semester 3
matplotlib numpy pandas python streamlit
Last synced: 20 Apr 2026
https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing
Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts
colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn
Last synced: 12 Apr 2026
https://github.com/esvs2202/credit-card-fraud-detection-system
This fraud detection system is powered by a Machine Learning model, which accurately identifies whether an initiated transaction is fraudulent.
azurewebapp flask gunicorn-web-server html-css machine-learning matplotlib-pyplot numpy pandas powerbi python3 randomforestclassifier seaborn
Last synced: 12 Apr 2026
https://github.com/salmandeveloperz/ml_house_prediction
project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.
classification-model clustering deep-learning machine-learning matplotlib numpy pandas python3 regression-models scikit-learn
Last synced: 10 Apr 2026
https://github.com/cchandre/rg
Renormalization for the break-up of invariant tori in Hamiltonian flows
expm hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 renormalization-group scipy
Last synced: 01 May 2026
https://github.com/alexandrbig1/py-design-analysis-algo
Advanced Python project on the design and analysis of algorithms. Includes practical modules on dynamic programming, graph theory, big data (Bloom filter, HyperLogLog), parallel computing (MapReduce), and optimization. Uses libraries like NumPy, Matplotlib, NetworkX, BTrees, PrettyTable, and Datasketch for efficient computation and visualization.
algorithms asyncio git heapq matplotlib numpy python python3 turtle
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https://github.com/fabrizio-ottati/misha
Simple and fast decoding of event cameras data to NumPy
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https://github.com/nekruzash/machine-learning-decision-trees
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jupyter-notebook numpy pandas python
Last synced: 02 May 2026
https://github.com/richecr/projetocrowd4city
Repositório para desenvolver as atividades realizadas para o projeto do LSI - Crowd4City
bert-as-service bi-lstm gensim lda nltk-python numpy numpy-library pandas python sklearn spacy-nlp speech-recognition tf-idf topic-modeling twitter-api web-scraping xgboost youtube-dl
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https://github.com/rakibhhridoy/machinelearning-featureselection
Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.
extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest
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https://github.com/zazi2002/machine-learning-project
Introduction to Machine Learning project with the goal of improving the classification performance on a dataset by optimizing the number of features and weak learners.
dimentionality-reduction ensemble-learning numpy pca random-forest scikit-learn
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https://github.com/sedatuygur/attendance-management-system
Attendance Management System using Face Recognition
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https://github.com/pratishtha-abrol/principlecomponentanalysis
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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
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https://github.com/cr-mao/machine-learning
机器学习笔记
data-analysis data-handling machine-learning math numpy pandas
Last synced: 12 Nov 2025
https://github.com/kavayk29/quora-duplicate-question-pair
This project improves information retrieval by detecting duplicate question pairs in the Quora dataset using data exploration, text preprocessing, feature engineering, and models like Random Forest and LSTM, aiming to streamline question-answering.
beautifulsoup4 bilstm gensim keras lstm matplotlib numpy pandas pytorch random-forest seaborn sklearn tensorflow xgboost
Last synced: 21 Jan 2026
https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression
This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.
curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split
Last synced: 10 Apr 2026
https://github.com/faizantkhan/regression-project-bangalore-property-price-prediction
🏠 Bangalore Property Price Prediction is a comprehensive project designed to accurately predict property prices in Bangalore. Leveraging advanced regression techniques and a dataset sourced from Kaggle, the model undergoes meticulous feature engineering, data cleaning, and parameter tuning to ensure high accuracy.
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Last synced: 14 Apr 2026
https://github.com/alibowndyn/flickerforge
A customizable image and GIF generator mimicking old television static, offering control over colors, blur, dimensions, pixel size, and many more.
Last synced: 05 May 2026
https://github.com/nikita-data/eda_projects
Exploratory data analysis projects
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Last synced: 06 Jan 2026
https://github.com/vidursatija/tensorpy
A simple NumPy autodiff library
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Last synced: 03 May 2026
https://github.com/datarohit/imdb-reviews-sentiment-analysis
This is a NLP - Sentiment Analysis Project built using Bernoulli-Naive-Bayes Algorithm to Predict is the IMDB Movie Review is Positive or Negative.
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Last synced: 29 Apr 2026
https://github.com/nomadsdev/pulse-detect
PulseDetect is a Python tool that detects audio frequencies in real-time. It captures sound from the microphone and identifies the dominant frequency using pyaudio and numpy
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Last synced: 07 Jan 2026
https://github.com/simipk12/eda-healthcare-project
Healthcare Insurance Cost Analysis This project analyzes the Healthcare Insurance dataset to explore factors that influence medical charges. The goal is to identify key drivers of insurance costs, detect outliers, and provide actionable insights for individuals, insurance companies, and policymakers.
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Last synced: 04 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.
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Last synced: 08 Apr 2026
https://github.com/zensam7/easy_my_ai
Библиотека для создания ИИ, написана ПОЛНОСТЬЮ с нуля
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https://github.com/apchavan/ulmfit_twitter
ULMFiT model for Twitter US Airlines Sentiment
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Last synced: 04 May 2026
https://github.com/meqdaddev/pixcraft
Welcome to PixCraft... Unleash the Power of Pixels
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Last synced: 09 Apr 2026
https://github.com/iver56/cython-region-growing
A quick experiment: Region growing (AKA flood fill) algorithm implemented in Cython and Python
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Last synced: 25 Apr 2026