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/ahmaruff/kmeans-img-compress
Simple python image compression library using K-Means clustering
color-quantization image-compression image-processing kmeans kmeans-clustering numpy python
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https://github.com/ayu-ano/basic_object-detection
End to End Basic object Detection using Open CV
background-substraction-algorithm cv2 masking math mixture-of-gaussians numpy python3
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https://github.com/matiassenia/galaxypy
La aplicación carga una imagen en escala de grises y utiliza los puntos de menor luminosidad (más oscuros) para dibujar líneas de colores que crean una estructura parecida a una galaxia.
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https://github.com/znreza/paradoxes
Q-learning algorithm from scratch in python for optimal path finding
grid grid-search matrix numpy python qlearning-algorithm reinforcement-learning
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https://github.com/zombietdv/rfl-13_8
Implementaion for Genetic algorithm and Q-Learning.
genetic-algorithm grid-world machine-learning numpy pygame q-learning
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https://github.com/amdjadouxx/my_neural_network
implementation of a neural network library
deep-neural-networks ia machine-learning numpy python3
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https://github.com/mayankmittal29/criticalphenomena-exploring_phase_transitions_and_self-organized_criticality
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criticality-c gif-animation jupyter-notebook matplotlib numpy percolation-theory python3 sandpile-model
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https://github.com/nabilshadman/python-classification-and-generative-models
Applications of classification and generative models with Python
classification data-science data-visualization generative-model machine-learning matplotlib numpy pandas scikit-learn
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https://github.com/aniket2021448/movie-recommender-system
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https://github.com/surayasumona/test_bowlers_analysis
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https://github.com/jcardonamde/reto_cobranzas_sector_financiero
This project analyzes data provided by the organization iData, focusing on the collection process of a financial company. The objective is to develop segmentation strategies that enhance portfolio recovery and improve debt management.
data-science kmeans-clustering machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn
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https://github.com/kumpatlapavankumar/eda-project-on-google-play-store-anlaysis
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https://github.com/csanri/simplenn
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https://github.com/renukadhule/airbnb_listings_and_reviews_python_analysis
Explore Airbnb listings and reviews from over 250,000 properties across 10 major cities. Dive into data on listing details, host information, pricing, and customer reviews for better insights
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https://github.com/kunalshelke90/wine-quality-testing
This project is about creating a machine learning algorithm that can predict the quality of wine based on the given dataset. Different machine learning algorithms such as logistic regression, decision tree and random forest are used in this project.
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https://github.com/montanaz0r/suicide-rate-analysis
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https://github.com/prahaladhchandrahasan/housingprices_adavanced_regression
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https://github.com/oyebamiji-micheal/data-analysis-with-python-zero-to-pandas
This repository contains all assignments and project completed when I took a course, "Data Analysis with Python: Zero to Pandas", on Jovian
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https://gitlab.com/DLR-SY/beos
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MPT in Python | Efficient Frontier modeling, Fama French 3 Factor Analysis, Monte Carlo Simulations and Portfolio Risk Analysis (Sharpe, VaR)
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https://github.com/mohamedezzeldeenhassanmohamed/human_computer_interaction_task
control Volume using gesture of hand
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https://github.com/who-else-but-arjun/pyspyce-cs
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This repository contains a Jupyter Notebook developed for my course, demonstrating symbolic and numerical computation, visualization, and problem-solving in Python using libraries such as SymPy, NumPy, SciPy, and Matplotlib.
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https://github.com/venkat-0706/air-drawing
A real-time hand gesture drawing app using Python, OpenCV, and MediaPipe to draw, erase, and switch colors on a canvas using finger gestures via webcam.
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n_gram model implementation with numpy only
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ICSI 526 Homework 3 - Spring 2023 - Shamir Secret Sharing
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https://github.com/danpoynor/pet-shelter-data-analysis-notebook
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https://github.com/carmoreno/aviones-aldeas
:airplane: Final project o Complexity and Optimisation course :house_with_garden:
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https://github.com/amaldevh/py-method-profiler
Profile Python methods without changing your code
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https://github.com/star2dust/numpy-notes
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https://github.com/refraction-ray/numkl
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https://github.com/ledsouza/machine-learning-introducao-a-classificacao-com-sklearn
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https://github.com/navindafernando/face-recognition
Training a SVM Pipeline for Face Recognition :anger:
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https://github.com/mohammed-majid/image-classification-nn
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https://github.com/prakhr/clickstream-data-visualization-on-raw-customer-dataset
contains streamlit app of the corresponding dataset
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https://github.com/himudigonda/gradwire
GradWire: A NumPy-based Automatic Differentiation Engine
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Learn Numpy step by step
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Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.
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https://github.com/dataspieler12345/user_journey_analysis_project
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https://github.com/mpbeatriz/santander_coders_2024
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https://github.com/pawpaw2022/proj03-math-painting
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https://github.com/thekartikeyamishra/object-detection-for-retailer
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ai computer-vision cv2 numpy pillow python torch torchvision yolov5
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https://github.com/takana671/texturegenerator
Procedually generate texture images from noise.
cloud cubemap cv2 cython noise noise-textures numpy python skybox
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https://github.com/toxic-whitelgnd/matrice_cryptography
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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
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https://github.com/pedroteixeiraw/predicting_football_match_results
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