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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/sarthak-1408/rain-fall-prediction
This repository represents the End to End Machine Learning Project (Rain Fall Prediction in Australia).
heroku heroku-deployment machine-learning numpy pandas rain-fall rain-fall-prediction scikit-learn xgboost-algorithm
Last synced: 05 May 2026
https://github.com/seungjaelim/scratchml
Implement neural network only using numpy
deep-learning machine-learning numpy
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https://github.com/sultanazhari/analyze-client-behavior
Megaline Telecomunication Company want to know how their customer habbits in using their services. As a data Analyst we're provided Customer Habbits and suggest to determine the options that need to be taken
matplotlib-pyplot numpy python3 scipy seaborn telecommunications
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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
Last synced: 21 Jan 2026
https://github.com/sspathak/eye-mouse
Control your PC's mouse by just looking at the screen!
artificial-intelligence computer-vision cv2 eye-mouse gaze-tracking keras keras-classification-models keras-implementations keras-models machine-learning matplotlib numpy python python3
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https://github.com/aryansk/fake-news-detection
A sophisticated machine learning solution to detect fake news using multiple classification algorithms. Identify the credibility of news articles with advanced text analysis techniques!
fake-news-detection machine-learning machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn
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ann classification machine-learning metplotlib numpy pandas regression-models skilearn supervised-learning tensorflow unsupervised-learning
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Exploratory Data Analysis on Netflix Movies & TV Shows.
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Tugas Besar 2 Aljabar Linear dan Geometri
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Determine which Whale portfolio is performing the best across multiple areas: volatility, returns, risk and Sharpe ratios.
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Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.
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This is Date Fruit Data taken from Kaggle. This data severs a classification problem to solved. Using various features of the fruit classify the fruit to its type.
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A Streamlit-based application utilizing machine learning to predict used car prices based on features like make, model, year, fuel type, and transmission, enhancing customer experience and streamlining the pricing process.
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Understand the online shopper purchasing pattern through Machine learning
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Movie recommendation system using machine learning and predict user ratings for the movies.
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This code will help to understand, in a simple way, how the clustering model works. To achieve this, we will input certain variables (strings and integers), then plot them to visualize and analyze how the values are positioned.
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Last synced: 13 Apr 2026
https://github.com/mchenryspagg/prosper-loan-project
A data analysis project that entails using the data from a fictional loan company known as Prosper to perform exploratory data analysis using univariate, bivariate and multivariate visualizations to produce insights that answers questions asked from the data
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https://github.com/nemeslaszlo/loan-data-decision-tree-and-random-forest
This repository covers a "Lending Club" analysis with decision tree and random forest with data visualizations and exploration.
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https://github.com/dhruvsrikanth/pynn
Purely NumPy based API for building deep neural networks.
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https://github.com/g-eoj/cv-tl-keras
Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.
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This project implements an anomaly detection algorithm to identify failing servers in a network. The model is trained on a dataset with throughput and latency features, estimating parameters for anomaly detection. The approach is extended to a high-dimensional dataset, showcasing its effectiveness in detecting outliers and anomalies
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https://github.com/hanzopgp/lstmcryptopriceprediction
TensorFlow LSTM neural networks which predict cryptocurrencies future prices. Starting from Sentdex's tutorial.
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https://github.com/shreeparab1890/flipkart-laptops-analysis-eda
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algebra combinatorics matplotlib numpy python scipy
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convolutional-neural-networks deeplearning-ai keras machine-learning mlcourse natural-language-processing neural-networks numpy pandas python-machine-learning recurrent-neural-networks tensorflow
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Investigation Of Covid’s Impact On Carbon Emission Rates In the United States
deep-learning numpy pandas python
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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/affromero/pixelcache
A versatile image processing library for Python with built-in support for caching, using Pillow, NumPy, and PyTorch.
image-processing numpy opencv pillow pytorch torchvision
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Using KNN to predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season
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Last synced: 05 Apr 2026
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Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
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https://github.com/hanzopgp/neuralnetworkfromscratch
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artificial-intelligence deep-learning machine-learning multi-layer-perceptron numpy personal
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https://github.com/rishraks/color-object-detection
This project enables real-time detection of user-defined color objects using a webcam. Users enter a color name, and the program identifies objects matching that color by converting it to its HSV range, applying a mask, and detecting contours. It's a practical tool for object tracking, sorting, and interactive applications.
computer-vision numpy opencv pillow-library
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https://github.com/gallo13/neuralnetworks-deeplearning-stats-classification
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analysis data datasets deep-learning jupyter-notebook matplotlib neural-networks numpy pandas plotting python seaborn
Last synced: 17 Apr 2026
https://github.com/nirmalyabag20/loan-status-prediction-using-machine-learning
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matplotlib numpy pandas python scikit-learn seaborn support-vector-machine
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https://github.com/rusiruchapana/blood-group-prediction
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https://github.com/satyanaryana-merla/financial-analysis-in-loan-analytics
sample datasets containing information about several loans, including details such as loan amount, interest rate, term duration, and other key characteristics. For this project, we need you to calculate a cash flow amortization schedule for each loan,
amortization amortization-schedule bank numpy pandas python
Last synced: 17 Apr 2026
https://github.com/nomadsdev/financial-trend-analyzer
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.
business-intelligence data-analysis data-visualization financial-analysis matplotlib numpy pandas python revenue-trends sales-data seaborn time-series-analysis
Last synced: 19 Jan 2026
https://github.com/iver56/cython-region-growing
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benchmark cython flood-fill numpy python region-growing
Last synced: 25 Apr 2026
https://github.com/achalesh27022003/python-assignments-iwt
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data-visualization matplotlib-pyplot numpy python3 sklearn
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https://github.com/RsGoksel/Genetic-Algorithms
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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/harmanveer-2546/supply-chain
Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.
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https://github.com/hansalemaos/numba_aot_compiler
A function to facilitate the Ahead-of-time compilation with Numba
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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/gauranshgoel123/predictive-demand-analysis
Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend
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Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.
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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/dudynets/numerical-methods-labs
Labs for Numerical Methods course at Ivan Franko Lviv National University.
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Last synced: 02 Apr 2026
https://github.com/quentinwidlocher/cours-python-pandas
Jupyter Lab sur le traitement des données en python
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Last synced: 13 Apr 2026
https://github.com/abrarshahok/wildlife-species-identification-using-cnn
In this project i've built and trained a Convolutional Neural Network (CNN) to classify wild animals.
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Last synced: 12 Apr 2026