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/yangeorget/clustering-algorithms
K-means and C-means experiments with Numpy
clustering clustering-algorithm numpy
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https://github.com/iliatrofimov/linearsystems_solvers
Several methods of solving sistems of linear equasions
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https://github.com/briankopp/fewerbytes
compress numpy arrays. binary and numeric techniques for numpy compression
compress compression numpy python python3 storage
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https://github.com/shreeyas-48/creditcardfrauddetection
Project for detecting credit card frauds using neural networks and logistic regression
autoencoder keras logistic-regression matplotlib neural-networks numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/madhuresh2011/telco-customer-churn-analysis-using-python
The analysis primarily investigates factors influencing customer churn, particularly focusing on payment methods and contract types.
csv data-analysis matplotlib numpy pandas pyhton seaborn vizualisation
Last synced: 02 May 2026
https://github.com/qua77i20/ai2
A simple single-layer neural network (perceptron) built in Python. Demonstrates backpropagation training from scratch for beginners.
ai backpropagation data-science deep-learning machine-learning neural-network numpy perceptron python
Last synced: 15 May 2026
https://github.com/shanmukhsrisaivedullapalli/cifar10
This project uses TensorFlow to classify images from the CIFAR-10 dataset. It compares the performance of an Artificial Neural Network (ANN) and a Convolutional Neural Network (CNN), covering data preprocessing, model training, evaluation, and prediction on new images.
cifar10-classification cnn-classification matplotlib neural-networks numpy pickle pillow python3 tensorflow
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https://github.com/epsoft/fingerprint-feature-extraction-master
Fingerprint Feature Extraction master
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https://github.com/vineet416/eda-travel
EDA Travel data by PW Skills Data Analytics Course.
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https://github.com/mohd-faizy/learn_numpy
NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.
array-manipulations numpy numpy-arrays numpy-matrix numpy-neural-network numpy-python numpy-tutorial
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https://github.com/carrington-115/ppt-generator-from-excel
PPT Generator for Excel file
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https://github.com/mgobeaalcoba/pandas_y_numpy
Trabajos realizados con estas librerías de Python para manejo de datos.
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Made a healthcare chatbot Liam which will help you to detect your health problem and gives precautions.
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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
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https://github.com/kritimbist/365-days-of-github-challenge-ai-machine-learning
This repository is part of my 365 Days Challenge: AI × Machine learning, where I combine my passion for Machine Learning 🤖 to learn, build, and document projects every single day for one year.
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Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
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This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (safe or not safe). The final classifier used for this project is CatBoost classifier. Deployed in AWS.
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https://github.com/hpennington/mono-visual-odometry
Monocular Visual Odometry in NumPy
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https://github.com/w86763777/numpynet
A simple Deep Learning framework powered by numpy.
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https://github.com/vtramo/neural-networks-experiments-from-scratch
The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.
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https://github.com/iv4n-ga6l/objects_detection_with_neural_network_training_visualization
Real-time Object Detection and Neural Network Training Visualization
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https://github.com/kwanit1142/sars-cov-2-detection-radiology-based-multi-modal-multi-task-framework
Keras-based Implementation for "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework" (Accepted in 45th IEEE EMBC 2k23)
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https://github.com/msthamizh/bizcardx-extracting-business-card-data-with-ocr
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.
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https://github.com/spandey1296/internship_banking_ml_project
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A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.
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https://github.com/datarohit/car-evaluation--classification
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https://github.com/fearless-spider/stooq-dax-seasonal
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https://github.com/Vice777/SAFE-HEART
Classify the chances of having a Heart Attack based on your Heart's Condition.
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Investigation of the Boston housing dataset to evaluate, train and test a regression model to predict house prices.
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A sophisticated movie recommendation system that suggests films based on user ratings and collaborative filtering techniques. Get personalized movie suggestions based on viewing patterns and user preferences! 🎯
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Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
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Titanic Survival Predictor using Scikit-Learn: Machine learning model and analysis to predict passenger survival on the Titanic based on historical data.
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Built from scratch neural network library using only NumPy
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https://github.com/akshay-kamath/visual-privacy-protection
An AI based application designed to protect visual privacy by anonymizing faces and obfuscating sensitive textual information (PII) in both images and videos
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https://github.com/aniketmondal/da_youtube_popular_videos
Analysis of current most popular YouTube videos. Contains real-life data collection using API, storing data in Cloud database, analysis of various data types in Pandas, and creating visualizations using Seaborn, Matplotlib.
cloud-database compute-engine data-cleaning data-science data-wrangling datetime-library google-cloud-platform ipython-notebook matplotlib numpy pandas pgadmin4 postgresql psycopg2 python python-dotenv seaborn virtual-machine youtube-api-v3
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https://github.com/sakshisrivastava-2601/credit-card-fraud-detection
Credit Card Fraud Detection Project Using Machine Learning. This project focuses on leveraging advanced Machine learning techniques to identify fraudulent transactions with high accuracy.
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https://github.com/shreeparab1890/flipkart-laptops-analysis-eda
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https://github.com/kelvinjuliusarmandoh/loan-approval-prediction
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https://github.com/tynoee/movies-data-anlysis
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https://github.com/stephenhky/npdict
Python Package for Dictionary Wrappers for Numpy Arrays
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https://github.com/nafisalawalidris/tools-for-data-science
It covers popular languages (Python, R, SQL) and libraries (NumPy, Pandas) used in the field. The author shares their objectives of teaching data analysis, web development, and critical thinking skills. The repository also includes code examples, explanations of arithmetic expressions, and contact information for the author.
arithmetic-expressions data-analysis data-science data-visualization languages libraries matplotlib numpy pandas programming python r sql tools web-development
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https://github.com/nemeslaszlo/sale-price-of-bulldozers
The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)
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https://github.com/nirmalyabag20/loan-status-prediction-using-machine-learning
This project focuses on predicting the loan status (approved or not approved) based on various applicant details. The goal is to develop a machine learning model that accurately classifies whether a loan should be approved, helping financial institutions make informed lending decisions.
matplotlib numpy pandas python scikit-learn seaborn support-vector-machine
Last synced: 19 Jan 2026
https://github.com/simran1002/strip-analyzer
The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.
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https://github.com/msadeqsirjani/synapse
seizure detector with neural networks
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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/mousazourob/stockdataresampler
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https://github.com/ansub/mask-detection
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https://github.com/solrikk/optichrom
This repository provides a collection of Python tools and applications for comparing images using various algorithms such as ORB (Oriented FAST and Rotated BRIEF) and SSIM (Structural Similarity Index). The tools include both command-line scripts and graphical user interface (GUI) applications for ease of use
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https://github.com/omerkel/fractals
Rendering Fractals like Hilbert curves, Julia sets and Mandelbrot sets in various techniques.
fractals glsl-shaders hilbert-curve julia-sets jupyter-notebook mandelbrot-sets matplotlib numpy webgl-shader
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https://github.com/prakashjha1/stock-trend-prediction
Deep learning for predicting stock market prices and trends has become even more popular than before. I have used yahoo finance to collect the data and LSTM to build the stock trend model.
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https://github.com/kanishk1420/renewabled-data-helper
An AI-powered assistant designed to help analysts, developers, and investors efficiently analyze and extract critical insights from renewable energy project documents. Built using Python, Google Gemini, FAISS, and Streamlit
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https://github.com/cchandre/rg
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Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. In terms of website interface and uniform resource locator (URL), most phishing webpages look identical to the actual webpages. Various strategies for detecting phishing websites, such as blacklist, heuristic, Etc.
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Interactive quantum circuit simulator
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https://github.com/rishraks/handsign-ai
HandSign AI is a gesture recognition project using Mediapipe to detect custom hand signs like fist, palm, and V-sign. It automates tasks such as starting/stopping video recording and capturing screenshots, showcasing intuitive, touch-free interactions for various applications like smart devices and accessibility.
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Last synced: 16 Apr 2026
https://github.com/localhostpib/pythonplayground
Playground of destruction :-D
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https://github.com/swimshahriar/machine-learning
This repository contains the machine learning models that I have worked on during learning "Machine Learning".
Last synced: 16 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.
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https://github.com/pratishtha-abrol/principlecomponentanalysis
Principle Component Analysis with Numpy and Python
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https://github.com/wrighang/shipping-data-analysis
Independent Project: Transit time trends analysis following a major shipping process change.
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Last synced: 18 Apr 2026
https://github.com/jswong65/machine_learning_nanodegree
Projects of Udacity Machine Learning nanodegree
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https://github.com/harmanveer-2546/heart-failure-prediction
Heart failure is a severe condition in which the heart is unable to pump blood effectively. Early prediction of heart failure can significantly improve patient outcomes. This project aims to build a predictive model using machine learning techniques to identify patients at risk of heart failure.
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https://github.com/nikita-data/unit_economics_projects
unit economics & cohort analysis projects
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https://github.com/virajbhutada/google-stock-price-forecasting-lstm
Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.
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https://github.com/macagua/entrenamiento.data_scientist_python
Repositorio de manuales y recursos del entrenamiento "Data Scientist en Python" realizado por Leonardo J. Caballero G.
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https://github.com/michaelradu/computational-physics
A collection of Jupyter notebooks demonstrating the use of Python to solve classical and modern physics problems through computational modeling.
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https://github.com/Tritonix711/FractureAI
This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.
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https://github.com/tasninanika/k-means-clustering
An interactive and insightful customer segmentation project using K-Means Clustering.
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https://github.com/epsoft/transfer-learning
Transfer Learning
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