An open API service indexing awesome lists of open source software.

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.

https://github.com/wbadart/simplegcn

Basic implementation of a Graph Convolutional Network

data-science gcn neural-network numpy

Last synced: 18 May 2026

https://gitlab.com/Makman2/scipy-steadystate

SciPy extension modules for general purpose steady-state solvers and optimizations for differential state-equations!

numpy optimization scipy steady-state

Last synced: 07 Oct 2025

https://github.com/karthikarajagopal44/data-analysis-using-python-libraries-

The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

data-cleaning data-visualization matplotlib numpy pandas python python3 scikit-learn seaborn

Last synced: 07 Apr 2026

https://github.com/abhisek-13/diabetes-prediction

The Diabetes Prediction Web App uses machine learning to predict if someone has diabetes based on their health data. Trained on the Kaggle diabetes dataset, it offers real-time predictions through a user-friendly Streamlit interface.

machine-learning matplotlib numpy pandas python sklearn streamlit

Last synced: 11 Apr 2026

https://github.com/fahrettinsolak/ai-map-based-geographic-clustering-project

This project focuses on clustering crime incidents in San Francisco using the K-Means algorithm. The dataset is obtained from Kaggle and contains information about crime types, geographical coordinates, and other relevant features. The goal is to identify crime hotspots through geographic clustering and visualize the clusters on an interactive map.

artificial-intelligence deep-learning elbow-method jupyter-notebook machine-learning numpy openstreetmap pandas phyton plotly scikit-learn standardscaler

Last synced: 05 Apr 2026

https://github.com/crafterkolyan/eigenvalues-speed-comparison

Сравнение скорости вычисления собственных значений положительно определённых матриц. Проект по спецкурсу "Высокопроизводительные вычисления на платформе Python". Основной результат - Python с JIT компилятором обгоняет нераспараллеленный C++ по скорости.

cpp eigenvalues numba numpy python speed university

Last synced: 10 Jul 2025

https://github.com/mr-talhailyas/histogram-equalization-and-contrast-stretching

Histogram equalization and contrast stretching without using builtin library functions.

contrast-stretching histogram-equalization image-enhancement image-processing numpy

Last synced: 29 Apr 2026

https://github.com/axelsgit/fashion-recommender

This project builds a hybrid and visual recommender system for (luxury) fashion products, simulating a real-world e-commerce scenario (e.g., Zalando, Farfetch, Fashion Nova). It integrates visual filtering, collaborative filtering, content-based filtering, and hybrid models, enriched with user metadata and interaction recency.

deepfashion fashion fastapi numpy pandas python resnet-50 sklearn streamlit tensorflow ui-design

Last synced: 07 Apr 2026

https://github.com/scikit-plots/lightnumpy

A lightweight version of NumPy or Cupy (or similar functionality).

cupy lightnumpy numcpp numpy python

Last synced: 17 Feb 2026

https://github.com/zainulmustafa/home-neural-net-gui-using-flask

I am working on a project that I call HNN whose GUI is created using Flask framework to give multiple users the access of controlling components over the same connection.

flask flask-api flask-server html5 numpy python3

Last synced: 05 May 2026

https://github.com/shwetapardhi/assignment-1-q7--basic-statistics-level-1

Q7) Calculate Mean, Median, Mode, Variance, Standard Deviation, Range & comment about the values / draw inferences, for the given dataset For Points,Score,Weigh> Find Mean, Median, Mode, Variance, Standard Deviation, and Range and also Comment about the values/ Draw some inferences. Use Q7.csv file

mean median mode numpy pandas python range standard-deviation variance

Last synced: 05 May 2026

https://github.com/jhaabhijeet864/numpy_for_machine_learning

It's a collection of python notebooks comprising of learning materials of numpy for machine learning

notebooks-jupyter numpy numpy-arrays numpy-library python

Last synced: 18 May 2026

https://github.com/musamairshad/numpy-learning

This repository contains material related to the NumPy Learning.

matrices multidimensional-arrays numpy python

Last synced: 18 May 2026

https://github.com/amnydv17/algorithm-visualizer

This project aims to offer a visual representation of how different algorithms work, making it easier for developers, students, and enthusiasts to understand their functionalities and behaviors through graphical demonstrations.

matplotlib numpy python3 seaborn

Last synced: 18 May 2026

https://github.com/rafinha0rafinha/web-analyzer-backend

(Legacy) This is the backend for Mazaoro SARLU's lead magnet "Web Analyzer". This project analyzes websites using Google Lighthouse and returns a detailed report consumed by the frontend.

azure-app-service azure-devops chartjs cicd data-analysis data-science data-visualization express flask hacktoberfest lighthouse numpy sentiment-analysis vader-sentiment-analyzer

Last synced: 10 Apr 2026

https://github.com/pzuehlke/hands-on-numpy

An introduction to NumPy for undergraduate students, focusing on basic linear algebra

linear-algebra numpy numpy-tutorial python scipy

Last synced: 18 Apr 2026

https://github.com/jalijuhola/amazon-textual-reviews-recommender-

predicting score and recommending using amazon textual reviews

numpy pandas python scikit-learn typescript

Last synced: 09 Apr 2026

https://github.com/josafatburmeister/circle_detection

A Python package for circle fitting.

circle numpy objectdetection pointcloud python

Last synced: 09 Apr 2026

https://github.com/aglowraph/gromacs-xvg-plot-script

A Python script for automating the plotting of .xvg files from GROMACS simulations, with dynamic labeling, time unit detection, and colorful visualization. This script reads, plots, and saves each .xvg file in the same directory, making data analysis more efficient.

automation computational-chemistry data-visualization gromacs matplotlib molecular-dynamics numpy python scientific-computing xvg-plotting

Last synced: 18 May 2026

https://github.com/ljadhav25/django-data-analyzer

Django Data Analyzer is a web application built using the Django framework, designed to streamline data analysis tasks. Users can upload CSV files containing data for analysis. The application utilizes the powerful data manipulation capabilities of Python libraries like pandas and numpy to perform various analyses on the uploaded data.

data-analysis data-visualization django-application matplotlib numpy pandas python seaborn

Last synced: 01 Mar 2026

https://github.com/venky-1710/superhero-recruitment

Superhero Recruitment System predicts hero selection using machine learning. Users input hero attributes through a web interface. A Random Forest model analyzes abilities, strengths, weaknesses, success rates, and missions completed. The Flask app displays results, showing if a hero is selected.

css flask html numpy pandas python scikit-learn

Last synced: 07 Apr 2026

https://github.com/gehad-ahmed30/hand-gesture-volume-control

This repository features innovative projects using OpenCV, highlighting the power of computer vision. With detailed documentation and source code, developers can easily learn various techniques. Explore to enhance your understanding of image processing and object detection! 🚀

mediapipe numpy opencv pyautogui python

Last synced: 08 Apr 2026

https://github.com/akku-1206/spotify_data_analysis

Spotify Tracks Analysis Overview This project performs an exploratory data analysis (EDA) on Spotify music data to uncover insights and correlations related to song features, popularity, and genre.

matplotlib numpy pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/saket-sk/data-science-lab

List of Assignments I have performed as a part of Honorary Course of Data Science and Machine Learning Lab.

data-cleaning data-science jupyter-notebook jupyter-notebook-extension numpy numpy-arrays pandas pandas-dataframe pandas-python python

Last synced: 16 Apr 2026

https://github.com/piyushamukherjee/fuxi

– A Cascade Machine Learning Forecasting System for 15-Day Global Weather Prediction

ml numpy pandas tensorflow weather-forecast

Last synced: 13 Apr 2026

https://github.com/yadavkaushal/datascience-e-commerce-shopping-details

This project analyzes customer purchase data including details such as location, company, credit card usage, browser info, job roles and purchase price. It explores patterns in payment methods, spending behavior and online transactions. Using Pandas, Matplotlib and Seaborn, we clean analyze and visualize key trends to derive actionable insights.

data datacleaning dataframe datapreprocessing dataset libraries matplotlib numpy pandas plots visulaization

Last synced: 06 May 2026

https://github.com/vipinchaudhary31122002/valuevanguard

ValueVanguard is a machine learning project for accurate house price predictions. Using advanced algorithms and real-world data, it empowers users to analyze and forecast property values efficiently. Perfect for developers, data enthusiasts, and real estate professionals. 🏠📈

machine-learning matplotlib numpy pandas python sklearn streamlit

Last synced: 12 Apr 2026

https://github.com/lasithaamarasinghe/youtube-comment-analysis

Sentimental Analysis of comments on YouTube videos. Classify comments as positive, negative, or neutral. Provide visualizations to display the distribution of the sentiments.

comment-analysis css3 emoji flask google-api-client html5 matplotlib negative neutral numpy positive python sentiment-analysis sentiment-classification vadersentiment visualization youtube-video

Last synced: 04 Apr 2026

https://github.com/thchilly/mlds102_py_exercises

Complete exercise sets from MLDS Practical Data Science and Applications course

data-science matplotlib numpy pandas python scikit-learn scipy tensorflow

Last synced: 06 Apr 2026

https://github.com/nambukeerthi/phonepe_project

This project will create a live geo-visualization dashboard using data from the PhonePe Pulse GitHub repository.

matplotlib numpy pandas python sklearn sql streamlit

Last synced: 07 Apr 2026

https://github.com/tapas-gope/telecommunication-customer-churn

This project involves predicting customer churn in a telecommunications company using machine learning techniques, exploring various features' impact, optimizing models, and identifying key factors influencing churn.

feature-engineering matplotlib-pyplot model-evaluation-and-validation numpy pandas python scikit-learn

Last synced: 12 Sep 2025

https://github.com/ahmed-maher77/signlink___graduation-project

𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐒𝐢𝐠𝐧 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐓𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐨𝐫 | A web and mobile app that bridges communication gaps for the deaf and hard-of-hearing community by translating English and Arabic sign language into real-time text and speech, and converting spoken words into text during video calls.

csharp fastapi firebase-realtime-database flutter framer-motion javascript microsoft-dot-net-technologies numpy opencv python pytorch reactjs scikit-learn scss-framework sign-language-recognizer sign-language-translation sql-server tailwindcss webrtc websockets

Last synced: 07 Apr 2026

https://github.com/werctfourth/python-border-autocrop

A Python script that crops borders from images.

border crop image-processing numpy pillow python python3

Last synced: 18 May 2026

https://github.com/samankhamesian/rating-prediction-system

This project is an implementation of simple rating prediction systems for items from user

latent-factor-model machine-learning numpy pattern-recognition python rating-prediction

Last synced: 18 May 2026

https://github.com/grandmoff100/pygrids

Dimensional Data Manipulation and Spreadsheet-like pretty grids.

arrays grids hacktoberfest numpy python spreadsheet

Last synced: 18 May 2026

https://github.com/asuquoaa/energy-_gdp-_and_scimago_rankings_analysis-2006-2015

Analysis of top 15 countries in energy, renewables, and GDP using three global datasets.

data-cleaning numpy pandas

Last synced: 01 May 2026

https://github.com/1ayanabil1/100-days-of-python-bootcamp

Join me on my journey to code in Python every day for 100 days! 🐍 This challenge is designed to sharpen my programming skills, explore Python libraries, and build cool projects along the way.

data-structures data-structures-and-algorithms data-visualization django flask machine-learning matplotlib numpy pandas python seaborn web-development

Last synced: 09 Apr 2026

https://github.com/sadegh-khedry/housing-prices-prediction-using-randomforest

This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.

csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn

Last synced: 05 Apr 2026

https://github.com/lordy5/ml-algorithms

Implementing ml algorithms from scratch to learn how they work.

from-scratch machine-learning ml numpy

Last synced: 05 Apr 2025

https://github.com/chandkund/time-series-forecasting

A time series forecasting project using the Airline Passenger dataset. This project leverages ARIMA modeling to predict future passenger numbers by analyzing historical trends and seasonality from 1949-1960. The results demonstrate effective forecasting for better business planning.

arima-forecasting arima-model data-science numpy pandas python seaborn

Last synced: 07 Apr 2026

https://github.com/ravi0529/e-commerce-annual-spend-model

A basic Linear Regression model for predicting annual customer's spending

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn scipy

Last synced: 09 Apr 2026

https://github.com/khushi130404/outlier_exterminator

Outlier_Exterminator is a Python tool for detecting and treating outliers using IQR, Z-Score, and Percentile methods. It supports trimming, capping, and Winsorization, demonstrated in a Jupyter Notebook.

capping iqr machine-learning numpy percentile-method trimming winsorization z-score

Last synced: 18 May 2026

https://github.com/lmizner/codecademy_auto_evaluation

Summarized categorical variables in Python using numerical summary statistics.

categorical-data frequency jupyter-notebook median numpy pandas proportion python

Last synced: 07 May 2026

https://github.com/harishtpj/rawnn

A minimal Neural Network framework written from scratch

framework neural-network numpy python

Last synced: 11 Jun 2026

https://github.com/05afreen/indian-job-market-analysis

This repository focuses on 🔍 scraping, 🧹 cleaning, and 📊 visualizing job market data in India. It automates job listing collection from platforms like 🌐 Naukri, Indeed, and LinkedIn using 🐍 BeautifulSoup/Selenium. The scraped data is then 🛠️ cleaned and standardized, handling ❌ missing values, 🏷️ formatting inconsistencies, and 🔎 extracting

numpy pandas powerbi selenium

Last synced: 11 Apr 2026

https://github.com/alexsolov28/ml_nir

Научно-исследовательская работа на тему «Прогнозирование цен на жилье»

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 20 Jan 2026

https://github.com/nk-works/creditflow-ai

CreditFlow AI predicts loan defaulters using Artificial Neural Networks (ANNs). This model uses historical loan data to predict the likelihood of default for new loan applications.

ai artificial-neural-networks deep-learning jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow

Last synced: 24 Jun 2025

https://github.com/charanchellu/movie-recommend-system

content Based movie recommend system

machine-learning numpy pandas python sklearn

Last synced: 02 Apr 2026

https://github.com/tachoknight/propanescale

Code to run pumpingstationone.org's propane scale

mqtt mqtt-broker numpy numpy-arrays python python3 serial serial-communication

Last synced: 13 Apr 2026

https://github.com/ghsaboias/glasses-ai

Real-time object detection system using Meta Ray-Ban AI Glasses and YOLOv8 Nano, processing Instagram livestream for visual analysis

ai meta-ai mss numpy object-detection ultralytics

Last synced: 18 May 2026

https://github.com/anuragkush2527/vibesync-3.0

Sentiment analysis in social media involves using natural language processing (NLP) and machine learning to analyze users' opinions, emotions, and attitudes expressed in posts, comments, and reviews. It helps in understanding public sentiment, monitoring trends, and making data-driven decisions.

expressjs fastapi mongodb nltk nodejs numpy pandas python reactjs scikit-learn sentiment-analysis tensorflow

Last synced: 16 Oct 2025

https://github.com/kisaa-fatima/object-detection-using-yolo-v8

From this project I gained practical experience in AI, computer vision, and GUI development, while also understanding the importance of automation in retail processes.

computer-vision gui numpy opencv-python pil roboflow tkinter yolov8

Last synced: 18 May 2026

https://github.com/amiridk/statics-and-algebra-in-python

simple and important statics operations and Famous statistical problems , also algebra operations

algebra itertools matplotlib numpy pandas python scipy seaborn static

Last synced: 24 Feb 2025

https://github.com/chenna7893/enhancing-customer-retention-a-machine-learning-approach-to-churn-prediction

Churn prediction using machine learning models like Random Forest, Decision Tree, and XGBoost involves identifying customers who are likely to stop using a company's services.

decision-tree-classifier matplotlib numpy pandas random-forest-classifier xgboost

Last synced: 02 May 2026

https://github.com/rahulchouhan1/air-quality-data-in-india

India Air Quality Analysis (2015-2024)

matplotlib numpy pandas python

Last synced: 11 Apr 2026

https://github.com/karthik9273/electric-vehicle-market-segmentation

Electric Vehicle market in India using Segmentation analysis and come up with a feasible strategy to enter the market, targeting the segments most likely to use Electric vehicles.

data-science machine-learning-algorithms matplotlib numpy numpy-arrays pandas seaborn statistics

Last synced: 18 Apr 2026

https://github.com/petridhsg/firewall-data-classification

A single implementation of a machine learning algorithm for a firewall data classification task

machine-learning matplotlib numpy python seaborn

Last synced: 01 May 2026

https://github.com/lokranjanp/mnist-classifier

Mnist handwritten digit classifier from scratch using numpy only and also with CNN-tf. The aim is to make the models of almost equal accuracy.

mnist mnist-classification mnist-classifier numpy pandas tensorflow

Last synced: 02 May 2026

https://github.com/youssefali11997/100-numpy-exercises

100 exercise on NumPy library. NumPy (Numerical Python) is a package used for scientific computing with Python.

data-science numpy python3

Last synced: 18 May 2026

https://github.com/rohansoni45/movie-recommendation-system

This project is a Content-Based Recommender System that suggests movies to users based on their preferences and watched history. The system leverages cosine similarity to find and recommend movies similar to a selected title. It is built using Python and libraries like Pandas, NumPy, and Scikit-learn.

content-based-filtering cosine-similarity data-analysis data-science machine-learning numpy pandas python recommender-system render scikit-learn

Last synced: 17 Apr 2026

https://github.com/ugurcan222/a-different-approach--image-enhancement-with-imputation-and-regression-methods

This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.

ai-image-upscaling computer-vision digital-image-processing gradient-boosting image-analysis image-enhancement image-enlargement image-interpolation image-processing imputation knn machine-learning numpy opencv pixel-prediction python randomforest regression-models super-resolution xgboost

Last synced: 17 Jan 2026

https://github.com/dimits-ts/computational_statistics

Fundemental ML algorithm mathematics, algebraic and Python implementations, data-based problem solving

applied-mathematics machine-learning numpy regression statistics

Last synced: 14 May 2026

https://github.com/0xkibh/books-recommendation-system

This is the website with collections of top readed books with the functionaliy of recommendation system. It basically recommends the book on the basis of given books. It also shows data of different books available.

bootstrap css flask font-awesome html numpy pandas pickle

Last synced: 07 Apr 2026

https://github.com/sk-g/mnist_beginners

Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow

Last synced: 09 Apr 2026

https://github.com/harmanveer2546/house-price-prediction-using-machine-learning

We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.

catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn support-vector-machine

Last synced: 07 Apr 2026

https://github.com/faisal-khann/banking_portfolio_risk_analysis

This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.

data-manipulation eda matplotlib numpy pandas powerbi python seaborn

Last synced: 21 Aug 2025

https://github.com/dineshdhamodharan24/singapore_flat_resale_

This project focuses on developing a machine learning model to predict the resale values of apartments in Singapore. The goal is to create a user-friendly online application that enables users to obtain accurate predictions for the resale values of specific properties.

data-analysis flat json numpy pandas pickle project python streamlit

Last synced: 07 Apr 2026

https://github.com/bishopce16/world_weather_analysis

The project’s objective is to improve a travel app to give customers a way to decide their travel destination and ideal hotel based on weather preferences.

apis citipy datetime gmaps json-traversal jupyter-notebook matplotlib numpy pandas python requests scipy

Last synced: 13 Apr 2026

https://github.com/vbhvsingh0/cdc_immunization

This project explores the relationships in between different vaccines and the sex, age and other basic features in the data.

data-cleansing data-manipulation-with-pandas data-science numpy pandas-python python3

Last synced: 05 May 2026

https://github.com/brenderb/python-projects

General interest and school python projects I completed. Included are lab analysis files (with uncertainty analysis, fitting, and graphing), simulation files (visualization of electric+magnetic fields, etc), specific research project files (data extraction + processing for a building science lab, graphs for a medical physics paper) and misc files

csv fitting matlab matplotlib numpy os pandas pyplot python scipy uncertainty

Last synced: 05 Apr 2025

https://github.com/vbhvsingh0/deforestation_rainfall_correlation

The aim of this project is to check if there is any correlation of rainfall with deforestation in Pennsylvania state of USA.

correlation-analysis data-science matplotlib-pyplot numpy pandas python3

Last synced: 29 Apr 2026

https://github.com/vbhvsingh0/fraudulent_transactions

A few models were developed based on Decision trees and Logistic Regression to categorize fraudulent transactions

credit-card-fraud data-science logistic-regression machine-learning numpy numpy-python pandas pandas-python python3 random-forest-classifier

Last synced: 09 May 2026

https://github.com/boobshash/numpy-neural-net

Simple and extendable library for deep learning in numpy

deep-learning mlp-classifier numpy

Last synced: 20 Jul 2025

https://github.com/avs123a/image-edge-detection-demo

Demo of image edges detection using different operators, norms and custom masks

demo edge-computing edge-detection image-analysis image-manipulation image-processing jupyter-notebook numpy python python27 python3

Last synced: 04 Feb 2026

https://github.com/isa1asn/mnist-neural-net

Applying neural networks on the MNIST dataset (from scratch & using tf)

from-scratch keras mnist-classification neural-networks numpy pandas relu-activation softmax tensorflow

Last synced: 12 Apr 2026

https://github.com/technologicat/orderfix

Reorder solutions of parametric studies to make continuous curves

cython eigenvalues numpy postprocessing python python2 python27 python3 python34

Last synced: 25 Jan 2026

https://github.com/alexsolov28/vkrb

Выпускная квалификационная работа бакалавра «Система анализа алгоритмов машинного обучения для решения задач классификации с использованием Pandas»

jupyter-notebook matplotlib numpy pandas python scikitlearn seaborn streamlit

Last synced: 15 Feb 2026

https://github.com/harmanveer-2546/motor-vehicle-accidents-in-india

As per the report, a total of 4,61,312 road accidents have been reported by States and Union Territories (UTs) during the calendar year 2022, which claimed 1,68,491 lives and caused injuries to 4,43,366 persons.

accidents accidents-analysis darkgrid data-analysis eda exploratory-data-analysis indian-roads inline matplotlib motor-vehicles numpy pandas review seaborn visualization

Last synced: 19 Jan 2026

https://github.com/mituskillologies/aiml-dypiemr-sep24

Programs conducted at DYPIEMR, Pune in training on AIML during September 2024.

artificial-intelligence data-analysis data-science machine-learning matplotlib neural-network numpy pandas python3

Last synced: 05 Apr 2025

https://github.com/harmanveer-2546/guide-to-regularization

Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.

generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn

Last synced: 05 Apr 2025