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/xmcp/waver
Wave file generator
numpy tkinter wavefile waveform
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https://github.com/shriram-vibhute/realestateforecast-price-prediction-system
This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.
exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn
Last synced: 07 Apr 2025
https://github.com/ryannapp12/quant_trading_engine
A modular, and scalable quantitative trading engine built in Python. This project demonstrates efficient data caching with SQLite, concurrent backtesting, and advanced risk analytics, showcasing best practices in clean code architecture and performance optimization.
algorithmic-trading backtesting dash data-analysis data-visualization fintech lstm machine-learning numpy pandas plotly python quantitative-finance real-time risk-management sqlite technical-analysis tensorflow time-series-analysis trading-strategies
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https://github.com/hansalemaos/cythoncartesian2
Cartesian Product for NumPy - 40x faster than NumPy + itertools.product
algorithm cartesian cartesian-product cython fast numpy
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https://github.com/quantum-software-development/statistical-measures
This repository contains a statistical analysis of customer service ratings for Biscobis Ltd
machine-learning mathematics mathp mathplotlib measurements numpy pandas puthon3 seaborn statisctics
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White and Red Wine classification using logistic regression
airflow airflow-dags classification classification-algorithm data-science dataingestion evidently flask logistic-regression logistic-regression-algorithm machine-learning machine-learning-pipeline mlflow numpy pandas pipeline postgresql python scikit-learn supervised-learning
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ensemble-model machine-learning matplotlib numpy pandas python sklearn
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https://github.com/cskhomo/scientific-python
Scientific Computation, Data Analysis using Python, Bash, SQL for FreeCodeCamp Courses.
numpy postresql shell-scripting
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3d 3d-graphics astronomy astronomy-astrophysics audio audio-processing data data-science data-visualization gaia graph information-technology information-visualization numpy python python-3 python3 signal signal-processing visiualization
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use python3 and Numpy to realize my personal linear Algebra library
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hackathon-project machine-learning numpy pandas python scikit-learn
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https://github.com/tynab/machine-learning-overview
CyberSoft Machine Learning 03 - Overview
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dataanalysis jupyter maplotlib numpy pandas python r
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https://github.com/indhra/helloworld
1.Numpy tutorial
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https://github.com/mirgis/sassy-sandbox
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https://github.com/KernFerm/PresFutImpactSim
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https://github.com/rushikeshbihade/django_bsased_dataanalyzer_webapp
Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.
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https://github.com/jayanthsd2003/ams-attendance_management_system
Project based on AMS-Attendance Management System
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https://github.com/dhakalnirajan/python-for-research
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https://github.com/chaitanya1436/student_performance_analysis
A project focused on analyzing college student performance using data on department, assessment scores, and performance labels. Implemented in Google Colab, the analysis includes data preprocessing, feature scaling, and exploratory data analysis to uncover insights and prepare the data for further analysis or modeling.
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In this machine learning project, we explore and analyze the famous Iris dataset. The goal of the project is to apply various machine learning techniques to classify the Iris flowers based on their measured features.
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https://github.com/epsoft/convolutional-neural-network-for-recognizing-farsi-handwritten-digits
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A Python package for studying complex systems.
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https://github.com/2000pawan/data_science.
Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.
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https://github.com/florianwoelki/mnist_fashion_cnn
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https://github.com/shahin-ro/table-detection
Python tool for table extraction & Persian OCR. Uses OpenCV for table detection, Tesseract for text extraction, & Pandas for data output. Visualizes cells & text. Ideal for Persian documents! 📄✨
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https://github.com/FredStober/cpp2numpy
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https://github.com/anumit-web/ml-masterlist-2024
ML Masterlist, Machine Learning, 2024
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https://github.com/yash-rewalia/stock-closing-price-prediction-using-regression
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datapreprocessing eda hypothesis-testing machine-learning numpy pandas python random-forest regression regression-analysis statistics
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https://github.com/nisch-mhrzn/laptop-price-predictor
Predict laptop prices with ease! 🚀 Input specs like brand, RAM, and more to get real-time price estimates using machine learning.
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https://github.com/katerynazakharova/deep-learning-and-neural-networks
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deep-learning dl h5py matplotlib neural-network neural-networks nn numpy pli scipy
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Locates values in NumPy Arrays with Cython
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https://github.com/hokagem/damagedlogginganalyzer
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analysis csv csv-parser k-fold-cross-validation numpy pandas pandas-dataframe pandas-python polynomial-regression scikit-learn statistics wood
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https://github.com/priyanshubiswas-tech/customer-churn-analysis-eda-
This project analyzes customer churn in a telecom company using Python, Pandas, SQL, and data visualization. It identifies key factors like contract type, payment method, and tenure to provide insights for improving retention. The skills gained are applicable in customer retention, user behavior analysis, fraud detection, and HR analytics.
data-analysis data-visualization dataset explo exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas-dataframe python seaborn seaborn-python
Last synced: 08 May 2026
https://github.com/rakibhhridoy/imageprocessing
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augmentation deep-learning functional-programming image-manipulation image-processing keras machine-learning numpy python sequential-patterns tensorflow
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https://github.com/eljandoubi/landmark-classification-tagging-for-social-media
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https://github.com/hamolicious/inversekinematics
Inverse Kinematics implementation in Python and PyGame
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https://github.com/ksasi/boston_housing
Predicting Boston Housing Prices - Udacity
machine-learning numpy pandas python scikit-learn
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https://github.com/fractalyze/zk_dtypes
A NumPy dtype extension used in Zero Knowlege libraries
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https://github.com/chandansoren/credit-card-fraud-detection
Credit card fraud detection through logistic regression.
logistic-regression machine-learning numpy pandas python sklearn
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https://github.com/lioccoumd/news-sentiment-analysis
This scrapes a variety of news stations websites for article titles and evaluates them using distilBERT pretrained model for sentiment analysis.
beautiful datasets distilbert news nltk numpy python pytorch reques scraping-websites sentiment-analysis transformers
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https://github.com/iv4n-ga6l/human-motion-capture
Realtime Human Motion Tracking and Analysis
human-pose-estimation mediapipe motion-analysis motion-tracking numpy opencv python
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https://github.com/ioangatop/machinelearning
Implementation and analysis of core Machine Learning Algorithms from scratch.
bayesian baysian-inference classification expectation-maximization gaussian-processes ica independent-component-analysis jupyter-notebook logistic-regression machine-learning multiclass-logistic-regression neural-network numpy polynomial-regression python3 regression support-vector-machines svm-classifier vae vae-pytorch
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https://github.com/patilni3/numpy-in-depth
Python's NumPy Library for Data Analysis, Machine Learning, Data Science and many more...
data-analysis data-engineering data-science machine-learning numpy pandas
Last synced: 10 May 2026
https://github.com/prayag2003/stock-trend-prediction-lstm-model
My first ML Project on Stock Trend Prediction🚀🚀 The dataset consists of stock opening, closing, high, low data values scrapped from Yahoo Finance from the year 2010 to 2022. The LSTM ( Long Short-Term Memory ) deep learning model shares the idealogy of Time Series.
numpy pandas sklearn stock-trend-prediction
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https://github.com/kento75/chainer-learn
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https://github.com/cesarmartinez7/anchorports
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arp colorama-librairy nmap numpy pyfiglet python python-nmap scapy-library
Last synced: 18 May 2026
https://github.com/evardnk/dataanalyticsportfolio
Собрание моих проектов по аналитике данных
api automation data-analysis etl-pipeline jupyter-notebook jupyterlab kpis numpy pandas pipeline postgresql powerbi python sql visualization
Last synced: 17 Feb 2026
https://github.com/yeetooq/pivaldi_telegram_bot
An unofficial bot for the Pivaldi restaurant that provides easy access to the menu, order placement, and current promotions. Plus, enjoy entertainment features like games, cryptocurrency rates, jokes, weather updates, and more!
aiocache aiogram aiohttp aiosqlite beautifulsoup4 geopy numpy requests sqlalchemy
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https://github.com/szilagyipeter99/imageprocessing
This repository contains the examples discussed in the Image processing practices.
classification image-processing machine-learning matplotlib numpy pillow python segmentation
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https://github.com/zaaim-halim/image-processing
an implementation of different filters and operations on images using Numpy and little help from OpenCV and PILL
contour-detection corner-detection edge-detection filters image-processing numpy python3
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A regression curve fitted on some points and implemented from scratch using python.
curve-fitting jupyter-notebook numpy python regression
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https://github.com/islam-hady9/heart-attack-analysis-prediction-using-ann
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https://github.com/hedriss10/projetc-cardio
"Analise de dados sobre saúde"
jupyter-notebook matplotlib numpy pandas python
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https://github.com/kr1shnasomani/treetracer
Detection of trees from aerial image using detectron2
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Last synced: 11 Apr 2026
https://github.com/1-harshit/cs203-probabality-in-cs
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Last synced: 20 May 2026
https://github.com/olutosinbanjo/direction_field
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Last synced: 04 Apr 2025
https://github.com/mayankmittal29/stockvision
Stock price predictor LSTM Sequential Model with Dropout Regularization by which we can analyse any stock tickers, do its fundamental analysis using fundamental ratios and charts visualisations of 100MA and 200MA and can also predict stock price for next 10 days with its trend. Can also view candle stick charts for stock trading and latest news.
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Last synced: 07 Apr 2026
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This repository contains implementation of various deep learning approaches for the MNIST handwritten digit classification task, using both scikit-learn and Keras frameworks.
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Last synced: 08 Apr 2026
https://github.com/swaathi/cpt-recommendation
Collaborative Filtering using User-Item and Item-Item Models
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https://github.com/wkrzywiec/polish-crops
Machine learning project to find out if price of a wheat in Poland depends on a weather.
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https://github.com/wyllduck/pygame_escapefromgaia
PYGAME / 2018 / university: ETSEIB-UPC / title: 'Escape from Gaia'
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https://github.com/nicolau-369/jupyter
Treinamento Para Análise de Dados.
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https://github.com/roma-glushko/numpy-katas
🧮 Exercises to sharp scientific computations with Numpy
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https://github.com/kr1shnasomani/traffisense
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time series analyse with python language
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https://github.com/shoaib-programmer/pychemicals
Python library designed for chemical calculations like pH, and titrations. It also includes other features like interactive graph plotting.
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https://github.com/tillahoffmann/idxhound
🐶 Track indices across one or more numpy selections.
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https://github.com/kientech/crop-recommendation-with-machine-learning
The Crop Recommendation with Machine Learning project is designed to assist farmers and agricultural professionals in selecting the most suitable crops for their specific environmental conditions.
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Last synced: 22 Mar 2025
