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/rixiiz/using-knn-to-predict-the-obp-of-mlb-players
Using KNN to predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season
artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning
Last synced: 05 Apr 2026
https://github.com/iver56/cython-region-growing
A quick experiment: Region growing (AKA flood fill) algorithm implemented in Cython and Python
benchmark cython flood-fill numpy python region-growing
Last synced: 25 Apr 2026
https://github.com/mihirh19/python
a repository for collaborative development and version control using Git that houses Python code files, documentation, tests, and other project-related files.
algorithms data-structures django fastapi flask machine-learning numpy pandas python
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https://github.com/dan-shields/rocketleagueirl
Rocket League comes to Real Life!
arduino numpy opencv2 python robotics rocket-league
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https://github.com/abhishekayu/football-detection-in-python
Football Detection in Python 10 line of Code
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https://github.com/udacity-machinelearning-internship/finding_donors
First stage project at Udacity on the 'Intro to Machine Learning with TensorFlow' program using sckit-learn in python
csv machine-learning matplotlib numpy pandas python sckiit-learn seaborn sklearn udacity udacity-nanodegree
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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/sarthak-1408/rain-fall-prediction
This repository represents the End to End Machine Learning Project (Rain Fall Prediction in Australia).
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https://github.com/mohidex/analyze-movie-rating
Analyzing the distributions of IMDB and Metacritic movie ratings to see if we find anything interesting. To do this, first scrape data for over 2000 movies from imdb website.
beautifulsoup4 jupyter-notebook matplotlib numpy pandas python3 requests webscraping
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https://github.com/antoniotejada/imageviewer
Simple but featured image viewer, designed for speed when browsing network drives and on low power computers like Raspberry Pi 2
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SI unit system in Numpy as native dtype
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This is Garbage Image Classification End-To-End Project built using Python and Streamlit.
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https://github.com/lebrancconvas/data-playground
Data Science and Analysis Playground.
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https://github.com/amishmathur1/resumeats
✨ With Resume ATS Analyzer, users can improve their resume quality, boost ATS compatibility, and increase their chances of landing interviews — all with smart AI assistance.
express-python matplotlib-python nltk nltk-python numpy openai-api pandas plotly plotly-dash plotly-express pypdf2 python streamlit wordcloud
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Python extension sample code using Intel oneAPI DPC++. The extension does a simple image processing using DPC++ kernel.
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https://github.com/nemeslaszlo/emergency-911-calls
Covers emergency (911) Calls: Fire, Traffic, EMS for Montgomery County, PA analysis with visualizations.
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https://github.com/MahiPonii/Hyperion_Sort
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A versatile image processing library for Python with built-in support for caching, using Pillow, NumPy, and PyTorch.
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https://github.com/yash22222/sync-intern-s-ml-tasks
SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.
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https://github.com/giuliotaralli/machine-learning-exercises
Practical exercises from the Machine Learning course
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Interactive 3D visualization tool for exploring the mesmerizing world of Mandelbrot and Julia fractals. Built with Python, OpenGL and PyQt5, offering real-time animation and intuitive controls.
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A function to facilitate the Ahead-of-time compilation with Numba
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ML based project which uses various techniques to build a hybrid model for identifying brain tumour in MRI images
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(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.
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Explore the basics of linear regression, gradient descent, and AI using Python. Get hands-on with NumPy, pandas, Matplotlib, and scikit-learn for practical learning.
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Image processing and computer graphics SOSE 22
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https://github.com/jilliennelapid/finalproject_group53
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https://github.com/tanu272004/-income-mortgage-housing-insights-a-state-city-analysis-
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https://github.com/607011/1dollar
Simulation of a counterintuitive distribution problem
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Solutions to the problem sets of Introduction to Computer Vision course at Udacity
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https://github.com/paulo-santos-ds/analise_corrida_taxi
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math matplotlib numpy pandas python3 seaborn sql
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https://github.com/dina-hosny/explore-us-bike-share-data-project
Explore US Bike Share Data project - FWD Data Analysis Professional Track. In this project, I used Python to explore data related to bike share systems for three major cities in the United States and answer questions about it by computing descriptive statistics.
data-analysis data-science numpy pandas python
Last synced: 09 May 2026
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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Last synced: 16 Apr 2026
https://github.com/gracysapra/pandas-numpy-data-visualisation
This repository contains essential Python scripts and notebooks for data analysis and visualization. It includes: pandas: Data manipulation and analysis, including operations on series and dataframes. NumPy: Efficient numerical computations and array processing. Data Visualization: Creating insightful visualizations using Matplotlib and Seaborn.
data-science data-visualization matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-series seaborn
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https://github.com/realamirhe/leaf-node
A leaf node for your machine learning journey, from scratch to practical applications...
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Last synced: 09 May 2026
https://github.com/abdulfatir/subkmeans
Numpy and pyCUDA implementation of subKmeans
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https://github.com/ishutak/disease_prediction
An AI-powered disease prediction system that uses machine learning to predict diseases based on symptoms. The system employs an ensemble of models including Random Forest and Neural Networks to provide accurate predictions with confidence levels.
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https://github.com/tynab/machine-learning-overview
CyberSoft Machine Learning 03 - Overview
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Last synced: 11 Apr 2026
https://github.com/k-ibadullaev/py-ssa-lib
Py-SSA-Lib: Python implementation of the multichannel singular spectrum analysis (MSSA) and singular spectrum analysis (SSA)
mssa numpy python singular-spectrum-analysis ssa time-series time-series-analysis time-series-forecasting
Last synced: 10 May 2026
https://github.com/datarohit/opencv-document-scanner
This is a Document Scanner built using Python and OpenCV. It also has Image Saving Feature. You can adjust the thresholds to find the contours better.
numpy opencv opencv-python python
Last synced: 10 May 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/kunalrrathod/placement-predictor
A web application that is using machine learning technology to deliver results ensuring the students are getting placed in campus placements
bootstrap4 flask-application jquery knearest-neighbor-algorithm machine-learning numpy pandas-dataframe python3 sklearn
Last synced: 15 Apr 2026
https://github.com/khaymanii/car-price-prediction-model
This is a model built using Python , Lasso and Linear Regression algorithm.
matplotlib numpy pandas python sckiit-learn
Last synced: 10 May 2026
https://github.com/raju-2003/indiaai-cyberguard-ai-hackathon
An NLP-powered system to simplify cybercrime reporting by analyzing descriptions, categorizing incidents, and providing actionable insights.
matplotlib nltk numpy pandas python random-forest-classifier re scikit-learn seaborn shap spacy wordcloud
Last synced: 11 Apr 2026
https://github.com/cosama/vasapy
Vectorized Associative Arrays for Python
associative-array associative-map dictionary numpy python vectorized
Last synced: 16 Mar 2026
https://github.com/kimpro82/myinvestmentmodules
Someday these will be an integrated trading system, but not now. So I am sad.
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https://github.com/rhazra-003/sketcher
A simple python code to make sketch out of any given photo using opencv and numpy
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https://github.com/RsGoksel/Genetic-Algorithms
A Guide to Problems and Solutions on Genetic Algorithms
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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
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https://github.com/palak-463/tablataalrecognitionsystem
Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument. 🎛️
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https://github.com/earth-app/doc2lora
Generate LoRA Adapters from documents
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A ipynb file that compares different regression modules in the sk.learnit library.
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https://github.com/mattdelaune/ecommerce_market_basket_analysis
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https://github.com/vidhi1290/zomato-data-analysis
Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!
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https://github.com/pr38/cox_ph_estimation_notebooks
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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
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https://github.com/mamtapanda088/uber-data-analysis
Uber data analysis involves studying trip trends, peak hours, popular locations, fare patterns, and visualizing insights using Python.
jupyter-notebook matplotlib numpy pandas python3 seaborn
Last synced: 15 Apr 2026
https://github.com/duoan/machine-learning-notebook
A notebook repository for tracking learning machine learning notebook.
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Notes & Code following Python for Data Analysis textbook
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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.
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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.
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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.
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https://github.com/simran2911/flight-price-pridiction
This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.
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https://github.com/nikhilroxtomar/fully-connected-neural-network-in-numpy
This is an efficient implementation of a fully connected neural network in NumPy.
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https://github.com/rhazra-003/indiebot
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https://github.com/muhammad-fiaz/gpt
A simple implementation based on the "Attention is All You Need" paper, using GPT-2 for text generation.
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https://github.com/hamdaniqhmqd/project-predict-saham-bbri
Repository Project-Predict-Saham-BBRI is a group assignment project that uses Streamlit, scikit-learn, and related technologies to build a BBRI stock price prediction application based on day, week, and month input.
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https://github.com/iv4n-ga6l/Realtime-Car-Traffic-Tracking
Realtime car traffic tracking using yolov8 model
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https://github.com/ilovenooodles/image-compression
Tugas Besar 2 Aljabar Linear dan Geometri
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https://github.com/m-faizan-mahmood/detailed-exploratory-data-analysis-eda-marketing-recomendations.
This project focuses on cleaning, preprocessing, and analyzing data using Pandas and NumPy. Key steps include handling missing values, removing outliers, feature engineering, and exploratory data analysis (EDA). Visualizations with Matplotlib and Seaborn highlight trends in customer spending, campaign performance, and product sales.
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Last synced: 11 Apr 2026
