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/babak2/synthea-data-analysis
Synthea Data Analysis
data-analysis data-visualization jupyter-notebook jupytext matplotlib numpy pandas python3 seaborn synthea
Last synced: 11 Apr 2026
https://github.com/ashishtukaral/sign-language-recognition-using-ai
A real-time Sign Language Recognition system using AI to translate hand signs into text and speech, enhancing communication for individuals with hearing impairments. This web application leverages neural networks and computer vision to provide accurate and accessible translation.
ann classification cnn computer-vision deep-learning flask keras machine-learning matplotlib neural-network numpy oops opencv pandas python3 tensorflow
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https://github.com/pandeyankit123/books-recommender-system-using-machine-learning
This is a streamlit web application that can recommend various kinds of similar books based on an user interest.
jupyter-notebook machine-learning numpy pandas pickle python streamlit
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https://github.com/hokagem/byakuganvisualizer
The ByakuganVisualizer repository hosts a Python tool designed to compare images and highlight their differences. It simplifies the process of identifying disparities between images, making it ideal for tasks like testing and quality assurance. Moreover, it offers a color filter that can be used to correct images for color-blind users.
color-blind color-correction colorblind image-manipulation numpy pillow
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https://github.com/armahdavi/unsupervised-clustering-ml---pm_source_detection-indoor-air
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https://github.com/nemeslaszlo/sale-price-of-bulldozers
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matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn
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https://github.com/m-faizan-mahmood/house-price-prediction-machine-learning-model
Implemented a Multiple Linear Regression model to predict house prices based on square footage, number of bedrooms, and age of the house.
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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.
jupyter-notebook matplotlib numpy pandas seaborn
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https://github.com/smallgig/pickomino
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https://github.com/affromero/pixelcache
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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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Rendering Fractals like Hilbert curves, Julia sets and Mandelbrot sets in various techniques.
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https://github.com/sudipbishwakarma/bulk-remove-onesignal-users
Bulk remove OneSignal subscribed users blazingly faster with parallel processing.
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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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A ROS2 package for transmitting NumPy ndarrays between ROS2 nodes.
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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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Indian fake currency detecting mobile application.
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https://github.com/ki-seki/set_determ
Set deterministic modes of `random`, `torch` and `numpy` to ensure reproducibility. Idea is inspired by https://darinabal.medium.com/deep-learning-reproducible-results-using-pytorch-42034da5ad7
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https://github.com/neetigyab/pdfreader
Ready to use Python application/file for parsing a specific format of pdf form, and storing relevant user data in a tabular format in excel sheet
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https://github.com/sominw/cheatsheets
Useful cheatsheets for DS.
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https://github.com/sizzlins/kalkulator-ai
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https://github.com/607011/1dollar
Simulation of a counterintuitive distribution problem
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https://github.com/mark0011astra/simplecuda
CUDAを使用したGPU演算をNumPyと同様のインターフェースで簡単行えるライブラリ。A library that allows users to easily perform GPU operations using CUDA with a NumPy-like interface.
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https://github.com/lgeiger/mypy-einsum
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https://github.com/alexcoder04/image-edit
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https://github.com/arshitarora/image-overlaying-prespective
Perform perspective warping and image fusion in Python using OpenCV and NumPy. Select four points on the base image to define the region where the subject image will be warped and fused. The script creates a fused image and saves it as Final_Output.png. 🖼️🌌🔮
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https://github.com/ayuhamaro/py_weight_estimation
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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.
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Last synced: 09 May 2026
https://github.com/datarohit/tps-january-2022--kaggle-competition
Tabular Playground Series - Jan 2022. This Competition is Posted on Kaggle.com for practicing the EDA and Regression Skills.
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https://github.com/hemilkaklotar/num-plot
Python Libraries Tutorials for Numpy and Matplotlib
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https://github.com/abdulfatir/subkmeans
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https://github.com/ayaanjawaid/google_playstore_data_analysis
This project provides an in-depth analysis of Google Play Store apps and user reviews, focusing on understanding app performance, user sentiment, and key trends in app categories. Using Python, I performed data cleaning, feature engineering, and exploratory data analysis (EDA) on app data and reviews.
data-analysis eda html numpy pandas-dataframe plotly python vizualisation
Last synced: 24 Feb 2026
https://github.com/laavanjan/lstm-rnn-next-word-prediction
An advanced LSTM RNN-based deep learning model designed for next-word prediction. This model processes sequential text data using deep learning techniques to generate accurate and context-aware word predictions in real-time
jupyter-notebook numpy pandas-dataframe rnn rnn-tensorflow streamlit-webapp tensorflow
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https://github.com/kamakshi4023/brain-tumour-detection
ML based project which uses various techniques to build a hybrid model for identifying brain tumour in MRI images
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Last synced: 03 Jan 2026
https://github.com/octcarp-courses/SUSTech_CS303-AI_F23_Works
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https://github.com/molodchina/msu-ml-prac
MSU-CMC-SP Machine Learning practicum
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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/k-ibadullaev/py-ssa-lib
Py-SSA-Lib: Python implementation of the multichannel singular spectrum analysis (MSSA) and singular spectrum analysis (SSA)
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https://github.com/Zion-Dev1/E-commerce-Analysis
Short machine learning project which analyses customer behaviour 🔎
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https://github.com/rusiruchapana/blood-group-prediction
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https://github.com/MITHILESHK11/Steganography-App-Aicte-Internship-Cybersecurity-Edunet-Foundation
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https://github.com/swamikannan/neural-network-from-scratch-numpy
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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.
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https://github.com/RsGoksel/Genetic-Algorithms
A Guide to Problems and Solutions on Genetic Algorithms
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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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https://github.com/moindalvs/assignment-basic-stats-level1
Assignment Basic Stats
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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.
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https://github.com/chriszethird/image-recognition-without-neural-network
After working on a end year project for University, showcasing the better energetic efficiency of Neuromorphic comparing two programs, I've decided to improve my second algorithm. You'll find 3 files of codes : the main programm, the calculation of its accuracy and the test on the MNIST data-base.
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C++ parallel sorting algorithms through Cython - up to 8 times faster than NumPy
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