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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/hamolicious/inversekinematics

Inverse Kinematics implementation in Python and PyGame

inverse-kinematics numpy pygame python

Last synced: 18 May 2026

https://github.com/mrarvind90/fcc-mean-var-std-calculator

A Python program to compute the mean, variance, standard deviation, maximum, minimum, and sum of a given list, both flattened and along specified axes using Numpy.

black freecodecamp freecodecamp-challenge freecodecamp-project numpy python3

Last synced: 19 May 2026

https://github.com/uhstray-io/pyrizon

Data Collection, Analysis, Mapping, Pipelining & Transformation, & API using Python

api data-engineering etl numpy pandas plotly python pytorch raw-data scikit-learn seaborne sql sqlite tensorflow

Last synced: 09 Apr 2026

https://github.com/sourabh-kumar04/numpy-basic

Numpy-Basic is a structured learning repo covering NumPy from basics to advanced. It includes arrays, indexing, reshaping, filtering, vector ops, angle functions, stats, and .npy file handling. Each concept is explained with code, examples, and Matplotlib visualizations in both light and dark modes. Ideal for students and data learners.

data-analysis data-science data-visualization learning learning-resources machine-learning matplotlib numerical-computing numpy python python-library python-programming

Last synced: 10 May 2026

https://github.com/abhy-kumar/ahmedabad-weather-projection

This notebook tries to predict Ahmedabad's weather using historical trends

arima-forecasting numpy pandas python

Last synced: 13 Apr 2026

https://github.com/chandansoren/credit-card-fraud-detection

Credit card fraud detection through logistic regression.

logistic-regression machine-learning numpy pandas python sklearn

Last synced: 02 Apr 2026

https://github.com/mchenryspagg/outlier-detection-in-election-data

This project aims to examine possible voting irregularities in Nigeria's 2023 election, focusing on alleged vote manipulations by INEC. It seeks to ensure election transparency by identifying polling units with results that significantly differ from nearby units.

geographic geographical-information-system geospatial-analysis geospatial-data latitude-and-longitude matplotlib-pyplot numpy outlier-detection pandas python seaborn

Last synced: 20 Jan 2026

https://github.com/patilni3/numpy-in-depth

Python's NumPy Library for Data Analysis, Machine Learning, Data Science and many more...

data-analysis data-engineering data-science machine-learning numpy pandas

Last synced: 10 May 2026

https://github.com/jaffar-hussein/python-pdb-parser-and-analysis

A Python-based parser and analysis tool for Protein Data Bank (PDB) files. The project aims to facilitate the manipulation of PDB files, enabling users to extract and compute various structural properties of proteins, such as counting amino acid residues and calculating distances between atoms.

jupyter-notebook matplotlib numpy pdb pdb-parser python3 seaborn

Last synced: 10 May 2026

https://github.com/tristan296/deepplate

A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.

cv2 numpy paddleocr sqlite3 ultralytics yolov11

Last synced: 04 Apr 2025

https://github.com/iamshatha/disease-symptom-analysis

The data file defines the relationship between different symptoms and possible diseases

analysis dataset disease matplotlib numpy python symptoms

Last synced: 07 May 2026

https://github.com/sumitgirwal/diabetes-linear-regression-ml

This is a simple diabetes checker machine learning test model, build with linear regression in Python , Matplotlib, NumPy, and sklearn. Diabetes is built in a dataset within the sklearn library. Where first you train the model then you apply a test to see how the output/result is approximate/good or change something in the model.

linear-regression matplotlib numpy python3 sklearn

Last synced: 18 Apr 2026

https://github.com/upul/chocolate-quality-analysis

This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.

machine-learning numpy pandas predictive-analytics scikit-learn

Last synced: 04 May 2026

https://github.com/intelpython/mkl_umath

Package implementing NumPy's UFuncs based on SVML and MKL VML

mkl numpy python

Last synced: 22 Jun 2025

https://github.com/gandhasiri-rahul-mohan/association-rules-2-my-movies

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

apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-learning

Last synced: 11 Apr 2026

https://github.com/prayag2003/stock-trend-prediction-lstm-model

My first ML Project on Stock Trend Prediction🚀🚀 The dataset consists of stock opening, closing, high, low data values scrapped from Yahoo Finance from the year 2010 to 2022. The LSTM ( Long Short-Term Memory ) deep learning model shares the idealogy of Time Series.

numpy pandas sklearn stock-trend-prediction

Last synced: 04 Apr 2025

https://github.com/pavankethavath/dominos---predictive-purchase-order-system

This advanced forecasting tool leverages Prophet, ARIMA, SARIMA, and LSTM models to predict daily sales for 32 pizzas and 64 ingredients. With Prophet achieving the lowest MAPE, it ensures accurate demand forecasts, optimized inventory, and efficient purchase planning, reducing waste, preventing stockouts, and enhancing supply chain efficiency.

arima deep-learning eda exploratory-data-analysis forecasting lstm machine-learning mape matplotlib minmaxscaling numpy pandas prediction python sarimax seaborn seasonality tensorflow time-series

Last synced: 08 Apr 2026

https://github.com/gavineshwar/assignment_plagarism_checker

Assignment Plagiarism Checker

fitz flask html-css numpy python

Last synced: 02 Feb 2026

https://github.com/cesarmartinez7/anchorports

Escaneador de puertos hecho en python con la libreria de nmap-python y Scapy.

arp colorama-librairy nmap numpy pyfiglet python python-nmap scapy-library

Last synced: 18 May 2026

https://github.com/nehalmr/qiksit-fall-fest-hackathon-2024

The Qiskit Hackathon is a unique opportunity for students to dive into the fascinating world of quantum computing. Participants will collaborate in teams to tackle a series of challenging problems that test their creativity, problem-solving skills, and understanding of quantum algorithms. This hackathon aims to inspire innovation in QC.

cpython hackathon ibm ibm-qiskit ibm-quantum-challenge matplotlib numpy python python3 qbits qiskit qiskit-tutorial quantum-algorithms quantum-computing quantumcircuits quantumregister

Last synced: 11 May 2026

https://github.com/biantris/graph-python

Graph sin vs cos using matplotlib and numpy

matplotlib numpy python python3

Last synced: 21 May 2026

https://github.com/ashkarin/ndpatch

Package to extract arbitrary regions from an N-dimensional numpy array assuming it mirrored infinitely.

array data-structures deep-neural-networks image-processing numpy patches region-of-interest

Last synced: 19 May 2026

https://github.com/machinelearningprodigy/covid-19-detection-system

It is a Flask-based web application that predicts the likelihood of COVID-19 infection based on user symptoms. The app utilizes a K-Nearest Neighbors (KNN) model trained on relevant medical features to assess COVID-19 risk.

algorithms feature-engineering flask machine-learning numpy pandas scikit-learn

Last synced: 20 Apr 2026

https://github.com/dmarks84/ind_project_california-housing-data--kaggle

Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.

cross-validation data-modeling data-reporting data-visualization eda folium grid-search matplotlib model-evaluation numpy pandas pca python seaborn sklearn statistics supervised-ml unsupervised-ml

Last synced: 08 Apr 2026

https://github.com/alicbm/learnlytics-code

Repositorio oficial de LearnLytics, una plataforma de tutoriales sobre análisis de datos, ciencia de datos, programación y economía. Aquí encontrarás los códigos y bases de datos utilizados en nuestros tutoriales, junto con documentación detallada para su implementación. 🚀

analisis-de-datos automation economia estadistica machin matplotlib mysql numpy pandas programming python r selenium webscraping

Last synced: 10 Apr 2026

https://github.com/carlolepelaars/q4p

Quantum Computing for (Python) Programmers

numpy python quantum quantum-computing

Last synced: 11 Apr 2025

https://github.com/bl0nder/regressify

A multi-task neural network coded from scratch that performs simultaneous regression and classification.

classification deep-learning multitask-learning neural-networks numpy regression

Last synced: 15 May 2026

https://github.com/nathanielsimard/numpy-mnist-classifier

Feed forward neural network using Numpy for MNIST classification.

deep-learning machine-learning mnist mnist-classification mnist-classifier numpy

Last synced: 29 Apr 2026

https://github.com/szilagyipeter99/imageprocessing

This repository contains the examples discussed in the Image processing practices.

classification image-processing machine-learning matplotlib numpy pillow python segmentation

Last synced: 18 May 2026

https://github.com/javierkaiser9/rgbd-dual_input_machine_learning_model

This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO

efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow

Last synced: 31 Dec 2025

https://github.com/aneeshmurali-n/ml_bangalore_house_price_analysis

This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.

box-plot correlation data-distribution data-transformation exploratory-data-analysis heatmap histplot iqr-method log-transformation matplotlib numpy outlier-detection outlier-handling pandas percentile-method python scatter-plot scipy seaborn z-score-method

Last synced: 06 Jan 2026

https://github.com/antonvagabond/maze

Operation and functionality of two mazes.

matplotlib maze numpy pillow python python3

Last synced: 07 May 2026

https://github.com/tillahoffmann/idxhound

🐶 Track indices across one or more numpy selections.

data numpy scientific-computing

Last synced: 14 May 2026

https://github.com/priyanshgoantiya/ml-from-scratch-without-sklearn

This repository contains machine learning algorithms implemented from scratch using only NumPy—without relying on scikit-learn or other high-level ML libraries. The goal is to provide a deeper understanding of how fundamental machine learning models work under the hood by implementing them step by step.

numpy

Last synced: 15 May 2026

https://github.com/bl33h/relations

A program for relation analysis and matrix operations using numpy. It determines relation types and performs matrix computations.

discrete-mathematics matrix matrix-operations numpy python relations

Last synced: 15 May 2026

https://github.com/mehraaaaa24/stockpriceprediction

A real-time web app that predicts stock prices using an LSTM model, visualizes data with moving averages, and allows user input for stock symbols.

jupyter-notebook keras lstm-neural-networks matplotlib numpy pandas python streamlit tensorflow yfinance

Last synced: 15 Feb 2026

https://github.com/adinack/chemistry-equation-balancer

A small python tool that can solve n-dimensional balancing equations.

chemistry matrices numpy sympy

Last synced: 16 May 2026

https://github.com/letiziaia/dsp_2021

Basic Python code snippets for data science students

data-science numpy pandas python

Last synced: 09 May 2026

https://github.com/akashshnkr/multi-disease-prediction

Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.

logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm

Last synced: 02 Jan 2026

https://github.com/isaacef/independent-motion-detector

Detect independently moving objects in a scene captured by a single camera.

numpy opencv python

Last synced: 09 May 2026

https://github.com/reusjimenez/data-analysis-labs

Casos completos y ejercicios prácticos de análisis de datos. 📊

data-analysis data-visualization jupyter-notebook machine-learning matplotib numpy panel python sklearn

Last synced: 04 Apr 2025

https://github.com/yashuv/numpy-for-data-science

A well structured practical deep dive into functional programming in NumPy.

ipynb-notebook numpy python3

Last synced: 28 Oct 2025

https://github.com/supriya811106/healthcare-recommedation-system

A Flask-based web app that predicts diseases based on symptoms and recommends specialized doctors. It uses machine learning for accurate health predictions and location-based doctor searches.

css flask-application healthcare-application html javascript machine-learning numpy pandas recommendation-system scikit-learn

Last synced: 04 Mar 2026

https://github.com/anish202020/data-analysis-and-machine-learning-basic-programs

Basic programs on data analysis and machine learning for students. It includes a variety of tutorials, examples, and models to help students understand and apply these concepts.

keras matplotlib numpy pandas python sklearn tensorflow

Last synced: 08 Apr 2026

https://github.com/raghavendranhp/waiter_tip_prediction

The "Waiter Tips Prediction Model" is a machine learning tool that forecasts waiter tips based on factors like the total bill, customer demographics, and dining specifics. It assists waitstaff and restaurants in understanding and estimating tipping patterns

eda numpy pandas plotly-express plotly-graph-objects python sklearn

Last synced: 06 Apr 2026

https://github.com/steventete/integral-app

IntegralApp is a Python-based GUI application designed to simplify the calculation of definite integrals using numerical methods.

desktop-app numerical-methods numpy pyqt5 python

Last synced: 18 May 2026

https://github.com/emperoryp7/covid-simulator

Application simulating the spread of COVID-19

covid-19 numpy pandemic-simulator python3 simulator

Last synced: 18 May 2026

https://github.com/davityak03/animal-image-classification-using-cnn

Animal image classification using Convolutional Neural Networks (CNNs) involves training a model to recognize and categorize different animal species based on their images. The CNN architecture excels at automatically extracting features from images, such as shapes and textures, which are crucial for accurate classification.

cnn-classification keras numpy pandas pretrained-models python tensorflow

Last synced: 08 Apr 2026

https://github.com/abdul-rafay19/cnnect-classifier

A real-time image classification app built with PyTorch and deployed using Streamlit. CNNect-Classifier uses a custom-trained CNN on the CIFAR-10 dataset to predict image classes with confidence scores. Designed to demonstrate end-to-end deep learning deployment — from training to user-facing web app.

ai artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks cifar-10 cifar10 cnn cnn-classification cnn-model cnnect deep-learning machine-learning neural-network neural-networks numpy python pytorch pytorch-cnn streamlit streamlit-webapp

Last synced: 11 Apr 2026

https://github.com/vartikaraj2512/animalclassification

🐾 Animal Classification: Classify 28K animal images into 10 categories using CNNs with Transfer Learning. 📥 Load & extract data, 🔄 preprocess images, 🧠 train models (VGG-16 & ResNet50), and 📈 plot performance. Libraries: OpenCV (BGR), TQDM (progress bars), Categorical (one-hot encoding). 🛠️ Install: pip install tensorflow numpy opencv-python

classification cnn kaggle machine-learning numpy opencv pandas tensorflow

Last synced: 20 Jan 2026

https://github.com/cchandre/confkam

Conjugation method in configuration space for invariant tori of Hamiltonian systems

conjugation hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 scipy

Last synced: 06 May 2026

https://github.com/sidsurakanti/mnist-classification

realtime handwritten digit recognition & mnist digit classification from scratch w/ only maths and numpy

classification math ml mnist numpy

Last synced: 14 May 2026

https://github.com/kostasereksonas/ids_test

Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.

ids intrusion-detection intrusion-detection-system nsl-kdd-dataset numpy pandas python scikit-learn tensorflow

Last synced: 08 Apr 2026

https://github.com/gokulgowthams/smart-premium

An Interactive Premium Amount Detection for user which accurately predicts the required premium amount for a default loan by using series of questions that satisfies the criteria in Streamlit Application

data-preprocessing feature-engineering git github mlflow model-deployment numpy pandas python scikit-learn streamlit xgboost

Last synced: 11 Apr 2026

https://github.com/theanujsinha01/rainfall-prediction-using-machine-learning

This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.

classification data-analysis eda machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn supervised-learning

Last synced: 11 Apr 2026

https://github.com/msthamizh/industrial-copper-modeling

Developing a Streamlit application that allows users to interactively predict sales outcomes using machine learning. The application supports both regression and classification tasks, enabling users to input various features and receive predictions for selling prices and status (WON/LOST).

exploratory-data-analysis machine-learning mongodb numpy pandas python streamlit

Last synced: 07 Apr 2026

https://github.com/cypher-adi/loan-predictor

A loan approval prediction system.

flask ipynb-jupyter-notebook machine-learning numpy

Last synced: 05 Mar 2026

https://github.com/shriram-vibhute/realestateforecast-price-prediction-system

This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.

exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn

Last synced: 07 Apr 2025

https://github.com/kientech/diabetes-prediction-with-machine-learning

The Diabetes Prediction with Machine Learning project aims to predict the likelihood of an individual developing diabetes based on various health parameters and demographic information.

fastapi machine machine-leaning matplotlib mongodb numpy pandas python reactjs seaborn

Last synced: 20 Jun 2025

https://github.com/mayankmittal29/stockvision

Stock price predictor LSTM Sequential Model with Dropout Regularization by which we can analyse any stock tickers, do its fundamental analysis using fundamental ratios and charts visualisations of 100MA and 200MA and can also predict stock price for next 10 days with its trend. Can also view candle stick charts for stock trading and latest news.

keras lstm-neural-networks matplotlib-pyplot mplfinance numpy pandas python scikit-learn streamlit yfinance-api

Last synced: 07 Apr 2026

https://github.com/gourab-sinha/instabot

This project is all about web scraping using Selenium, BeatifulSoup and Python Packages.

beautifulsoup matplotlib numpy pandas python3 selenium-python

Last synced: 06 Apr 2026

https://github.com/savitar-hub/image-classification

Notebooks on how image classification can help businesses make better decisions and improve the customer experience.

image-classification image-processing jupyter-notebook numpy opencv pandas pytorch tensorflow

Last synced: 08 Apr 2026

https://github.com/aryansk/mnist-deep-learning-exploration

This repository contains implementation of various deep learning approaches for the MNIST handwritten digit classification task, using both scikit-learn and Keras frameworks.

keras machine-learning machine-learning-algorithms mnist-classification numpy python scikit-learn tensorflow

Last synced: 08 Apr 2026

https://github.com/nicolau-369/jupyter

Treinamento Para Análise de Dados.

big-data jupyter jupyter-notebook matplotlib numpy pandas python python3

Last synced: 19 Mar 2025

https://github.com/drcbeatz/aynm-data

Python scripts for data cleaning and processing for AYNM (Pandas/NumPy/Selenium/AWS Textract)

automation aws-textract csv data-analysis data-cleaning ipynb numpy ocr pandas python reverb selenium shopify webscraping xml

Last synced: 07 Mar 2026

https://github.com/shoaib-programmer/pychemicals

Python library designed for chemical calculations like pH, and titrations. It also includes other features like interactive graph plotting.

chemicals matplotlib numpy pyplot python3 titration titration-curve

Last synced: 19 Mar 2025

https://github.com/cskhomo/scientific-python

Scientific Computation, Data Analysis using Python, Bash, SQL for FreeCodeCamp Courses.

numpy postresql shell-scripting

Last synced: 14 May 2025

https://github.com/nitsc/spell-from-threebodytrilogy

Implemented the process of extrapolating from Gaia stellar data, to 3D visualizations, to three-views, to three-view signals, to three-view audio of signals, and even their inversions. This project proves the feasibility of the Logic (Luoji)'s “spell” from “The Three Body Problem” trilogy.

3d 3d-graphics astronomy astronomy-astrophysics audio audio-processing data data-science data-visualization gaia graph information-technology information-visualization numpy python python-3 python3 signal signal-processing visiualization

Last synced: 02 May 2026

https://github.com/reddyprasade/bicycle-sharing-system-in-us

A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.

dataanalysis jupyter maplotlib numpy pandas python r

Last synced: 29 Aug 2025

https://github.com/msadeqsirjani/cinemetrics

This project focuses on analyzing the Netflix dataset to gain insights into the movies and TV shows available on Netflix.

decision-trees jupyter matplot netflix nlp nltk numpy pandas plotty python scikitlearn-machine-learning seaborn sklearn svm

Last synced: 06 Apr 2026

https://github.com/aisurjyasamantaray/customer-purchase-analysis

This project involves an in-depth analysis of customer purchasing behavior and sales performance to drive business insights and strategies.

customer-purchasing customer-segmentation data-visualization dataanalysis dataanalysis-projects marketing-insights matplotlib numpy pandas python revenue-and-performance-analysis seaborn-plots

Last synced: 09 Apr 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
NumPy Categories
Blogs 404 Libraries 239 ⚡ Productivity 101 🧠 AI Applications & Platforms 96 🐍 Python 91 Exercises 87 Models and Projects 74 📚 Skill Development & Career 67 🗃️ SQL & Databases 53 Tutorials and Blog Posts 53 🤖 Machine Learning & AI 52 📦 Additional Python Libraries 52 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 37 🎲 Statistics & Probability 34 Videos 34 🚀 MLOps 31