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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/mogankumar/virtual-mouse

A Python-based Virtual Mouse that uses hand gestures for cursor control, clicking, scrolling, and taking screenshots. Powered by OpenCV, PyAutoGUI, and a custom hand tracking module for a touch-free experience.

autopy numpy opencv pyautogui python3

Last synced: 10 Apr 2026

https://github.com/khaymanii/spam_mail_detection_model

This model was built using Python and Logistics Regression algorithm

matplotlib numpy pandas python sckiit-learn

Last synced: 10 Apr 2026

https://github.com/babagata/racunalna_fizika

Math and physics solved with python

matplotlib numpy random scipy sympy

Last synced: 10 Apr 2026

https://github.com/niteshchawla/logistics-nn-regression

The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.

adam-optimizer data-visualization encoding exploratory-data-analysis feature-engineering hidden-layers hyperparameter-tuning keras-tensorflow kerastuner metrics neural-network numpy pandas regression relu scaling sequential-models

Last synced: 10 Apr 2026

https://github.com/azaz9026/data_cleaning

Welcome to the Data Cleaning repository! This collection is dedicated to showcasing techniques and methods for cleaning and preparing datasets for analysis.

data-analysis data-engineering data-structures data-visualization eda feature-engineering machine-learning numpy outliers pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/ahmedabdalkreem/speech-recognition

In this project we deal with audio dataset to make classification between ten audio and make preprocssing in it using Librosa and Scipy then be input of Neural Network Model.

librosa matplotlib neural-network numpy pandas python3 scipy sklearn tensorflow

Last synced: 11 Apr 2026

https://github.com/alejoduarte23/reading_data_from_dewesoft

The following repository retrieves sensor data (acceleration and strains) from both local and cloud databases. It processes the data using classes from another repository called Modal Engine for spectral analysis, modal analysis, and signal processing.

dewesoft matplotlib modal-analysis numpy orm scipy signal-processing sql sqlalchemy

Last synced: 07 Jan 2026

https://github.com/tsungtsetu122/datamining-cifar10-classification

Data mining project on CIFAR-10 extracted features, applying preprocessing, classification models, and evaluation techniques to improve classification performance.

matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/crvargasm/moore-penrose-matrix

A small implementation of an algorithm that is capable of computing the Moore-Penrose inverse of any matrix.

numerical-methods numpy python

Last synced: 10 Apr 2026

https://github.com/sc0v0ne/ai-discipline-work

AI Discipline Work - Movie recommendation

jupyter-notebook machine-learning numpy pandas python python3

Last synced: 15 Apr 2025

https://github.com/paulbrenker/decision-tsp

Scripts from a university data analysis project to approximate the decision tsp problem using heuristics and machine learning

data-science machine-learning numpy poetry python

Last synced: 26 May 2026

https://github.com/paraskevi-kivroglou/rl-pong-agent

A project by Paraskevi Kivroglou as part of exploring deep reinforcement learning applications.

atari atari-games gym-environment gymnasium numpy python3 pytorch q-learning reinforcement-learning reinforcement-learning-agent

Last synced: 11 Apr 2026

https://github.com/yash-rewalia/airbnb_eda_pandas

The goal of the project is to gather information and analyze the detailed information of the different entries in order to provide insights about the host and price of the property in a particular area as per your preference , type of rooms and number of reviews accordingly.

data data-cleaning data-insights data-preprocessing data-visualization matplotlib numpy pandas python seaborn

Last synced: 11 Apr 2026

https://github.com/germanocastanho/python-notes

Personal collection of Python Notes, tips, and code snippets 🐍

data-science numpy pandas programming python

Last synced: 01 Sep 2025

https://github.com/hansalemaos/hexarray2decimal

Converts a numpy string array with hex values to int

convert hex int numpy python

Last synced: 05 May 2026

https://github.com/pardhuu66/college-id-validator

FastAPI-based offline College ID Validator with Docker support

base64 dnn docker easyocr fastapi mobilenetv2 numpy onnx onnxruntime opencv pillow pydantic python tensorflow uvicorn

Last synced: 11 Apr 2026

https://github.com/rkarahul/face-detection-using-opencv-

β€’Build a face detection project using OpenCV and haar cascades, which are the better choice for real-time detection.

haar-cascade-classifier machinelearning numpy pandas-library python3 tkinter

Last synced: 08 May 2026

https://github.com/zuhairzia/titanic-survival-project

This is a Titanic Survival Prediction Model developed using Python, Pandas, Scikit-learn, and Jupyter Notebook. The model predicts whether a passenger survived the Titanic disaster based on features such as age, gender, and passenger class.

csv-dataset flask jupyter-notebook matplotlib numpy pandas pandas-library python scikit-learn seaborn streamlit

Last synced: 11 Apr 2026

https://github.com/djdhairya/crop-recommendation

Crop Recommendation System is a powerful tool for enhancing agricultural decision-making. By leveraging data-driven insights, it empowers farmers to maximize yield and ensure sustainable practices.

adaboostclassifier bagging-classifier csv decision-trees gaussian html knn-classification logistic-regression machine-learning machine-learning-algorithms matplotlib model numpy pandas random-forest random-forest-classifier scikit-learn seaborn svc

Last synced: 11 Apr 2026

https://github.com/armahdavi/analytics-data-pipelines-statistics-plotting---dust-extraction-hvac-filters---phase-1

PhD Technical Paper 1 - Phase 1 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available

matplotlib numpy pandas pandas-dataframe pyplot python scipy-stats sklearn

Last synced: 13 Apr 2026

https://github.com/kirtipratihar/python_libraries_for_ds

This repository serves as a comprehensive guide to Python programming for Data Science. It covers essential topics like data manipulation, data visualization, machine learning, and statistical analysis using popular libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.

artificial-intelligence machine-learning numpy pandas python scikit-learn tensorflow

Last synced: 11 Apr 2026

https://github.com/timothyjan/intro-machine-learning-classifiers

We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a β€œreal-world” dataset, which will introduce its own set of challenges.

numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/varkenvarken/blempy

small, safe utilities to efficiently transfer Blender property-collection attributes (e.g. vertex coordinates) to/from NumPy arrays and perform vectorized operations with minimal Python overhead.

blender numpy

Last synced: 13 Jan 2026

https://github.com/volf52/deep-neural-net

A simple deep neural net class written to work with Numpy and Cupy

binarized-neural-networks binary-neural-networks bnn cupy deep-learning deep-neural-networks mnist numpy python python3

Last synced: 05 May 2026

https://github.com/dhanish03/credit_card_fraud_detection

Developed and implemented an advanced CCFDS using ML algorithms and pattern recognition techniques. Integrated real-time monitoring and adaptive learning capabilities into the system to dynamically adjust fraud detection parameters, ensuring effectiveness in identifying emerging fraud patterns.

kaggle-dataset numpy pandas-dataframe python3 sklearn

Last synced: 16 Apr 2026

https://github.com/mrktsm/spam-email-recognizer

Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.

data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model

Last synced: 09 Apr 2026

https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure

A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.

eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn

Last synced: 11 Apr 2026

https://github.com/gregoritsch3/ml_eda_clustering_aidassessment

An EDA and Machine Learning Clustering exercise on the Country Aid Assessment dataset demonstrating the use of PCA, KMeans and DBSCAN clustering, Elbow Methods, etc. The clustering algorithm successfully demarcates countries that are in most dire need of aid based on their GDPP and Child Mortality rate.

anova dbscan kmeans machine-learning matplotlib numpy pandas pca scikit-learn seaborn statistics

Last synced: 16 Apr 2026

https://github.com/ngangawairimu/data-validation-using-python

Agricultural dataset validated using python code for usage. Building a data pipeline that will ingest and clean data with the press of a button.

jupyter-notebook numpy pandas pytest python

Last synced: 13 Apr 2026

https://github.com/talapanenivarshithchowdary/asteroid-detection-ml

This project uses Machine Learning to detect and classify asteroids based on trajectory and size, aiding in Near-Earth Object detection and planetary defense.

classification data-science decision-trees jupyter-notebook knn logistic-regression machine-lea matplotlib numpy pandas pillow prediction python3 random-forest scikit-learn

Last synced: 11 Apr 2026

https://github.com/audy21/datacamp

Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.

data-analysis data-science machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/amanyadav-07/customer-churn-prediction

Machine Learning project to predict customer churn using Logistic Regression, Random Forest, and XGBoost. Includes data preprocessing, feature engineering, SMOTE balancing, model training, evaluation, and business insights.

accuracy-metrics data-analysis data-visualization logistic-regression machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn sklearn xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/arthurdsant/dataanalysis-agricultural_raw_material

This Python project performs analysis and visualization of agricultural raw material price data using a Kaggle dataset. Based on Jupiter Notebook and Python.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 26 Jan 2026

https://github.com/mgitrov/lifespan-x-population-status

A machine learning project aiming to predict animals' lifespan and population status.

bs4 data-science machine-learning matplotlib numpy pandas python regular-expressions requests seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/aksoni07/movie-recommendation

A hybrid movie recommendation system designed to deliver personalized and accurate suggestions by combining user preferences, item attributes, and collaborative patterns, ensuring a seamless and engaging experience.

clustering content-based-filtering data-analysis embeddings jupyter-notebook numpy ollaborative-filtering pandas personalization python recommendation-systems scikit-learn user-item-interactions

Last synced: 11 Apr 2026

https://github.com/winterwind/ecg_signal_classification

Two-part project that involves detecting the R-peaks in an ECG signal to extract the individual ECG beats and making a machine learning model to classify them

csv csv-files data-science decision-trees ecg ecg-classification ecg-signal jupyter jupyter-notebook knearest-neighbors knn machine-learning matplotlib matplotlib-pyplot numpy pandas pyplot python random-forest scipy

Last synced: 11 Apr 2026

https://github.com/amanda-ucc/market-tracker

Automated portfolio creator that generates a portoflio which mimics a bench mark index by minimizing the tracking error.

beta covariance numpy pandas scipy sharpe-ratio tracking-error variance yfinance

Last synced: 11 Apr 2026

https://github.com/egorumaev/2023-cirrhosis-outcomes

ΠŸΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ исхода лСчСния ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Ρ†ΠΈΡ€Ρ€ΠΎΠ·ΠΎΠΌ ΠΏΠ΅Ρ‡Π΅Π½ΠΈ

catboost imblearn iqr lda matplotlib numpy pandas pca phik pipeline sklearn t-sne xgboost

Last synced: 08 May 2026

https://github.com/allanreda/telco-customer-churn-predictor-app

A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.

app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn

Last synced: 16 Apr 2026

https://github.com/bunu23/image-classification

This repository contains a notebook implementing a Convolutional Neural Network for multi-class image classification using transfer learning with a pre-trained ResNet-50 model. Covers dataset handling, model architecture customization, training, evaluation, fine-tuning, and external image prediction.

keras matplotlib numpy pil python tensorflow

Last synced: 11 Apr 2026

https://github.com/erikbrinkman/hilbert-bytes

A python library for converting between d-dimensional points and indices on a hilbert curve

hilbert-curve numba numpy python

Last synced: 08 May 2025

https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics

✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.

data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control

Last synced: 11 Apr 2026

https://github.com/shreyasmehta05/sortsync

A custom sorting algorithm combining parallel merge and count sort, with detailed performance comparisons against standard sorting techniques.

c matplotlib numpy python3

Last synced: 04 Feb 2026

https://github.com/sufiyan1803/student-result-analysis

This project explores student exam data to find out what affects their scores. It covers everything from cleaning the data to analyzing score distributions, the effects of parental education and marital status, and comparisons by gender and lunch type. It’s a great way to see how different factors influence student performance.

matpolotlib numpy pandas python

Last synced: 03 Feb 2026

https://github.com/mani-prakash-n-r/stock_market_prediction_system

This project uses LSTM networks to predict stock prices based on historical data, providing insights for informed investment decisions..LSTM, NumPy, Scikit-Learn, Matplotlib, yfinance and TensorFlow

lstm matplotlib numpy python sckiit-learn tensorflow yfinance

Last synced: 11 Apr 2026

https://github.com/saliola/nonnegative_integer_matrices

code to generate and count nonnegative integer matrices with prescribe row and column sums (aka contingency tables)

cython cython-examples numpy numpy-examples python3

Last synced: 18 Apr 2026

https://github.com/matiassenia/modelo-prediccion-temperatura

Proyecto de machine learning que utiliza TensorFlow para predecir temperaturas en grados Fahrenheit a partir de temperaturas en grados Celsius. Incluye un script de Python para entrenar el modelo y realizar predicciones, asΓ­ como datos de entrenamiento y visualizaciones

adam-optimizer machine-learning numpy python python3 tensorflow

Last synced: 11 Apr 2026

https://github.com/project54321/stocksniper

"An interactive Stock Dashboard that visualizes historical prices, calculates key financial metrics, displays fundamental statements, and aggregates the latest news for any ticker β€” all in a sleek, easy-to-use Streamlit interface."

alphavantage finance numpy pandas plotly pypi python stock-market stocknews streamlit

Last synced: 11 Apr 2026

https://github.com/djdurga/google_play_store_apps_analysis

This data analysis project focuses on exploring and understanding the Google Play Store Apps dataset.

numpy pandas python

Last synced: 11 Apr 2026

https://github.com/isabelacaldeira/chutelibre

Crashing into code. Here is a physics problem about free fall solved with python!

freefall jupyter-notebook matplotlib numpy physics physics-simulation python3

Last synced: 11 Apr 2026

https://github.com/anubagre/predicting-price-of-pre-owned-cars

This project is solution to data science problem based on regression model to predict the price of pre owned cars. Programming language used is Python.

data-science machine-learning numpy pandas price-prediction python seaborn sklearn streamlit

Last synced: 11 Apr 2026

https://github.com/dmarks84/ind_project_obesity-multi-class-classification--kaggle

Independent Project - Kaggle Competition -- I worked on the obesity classification data set as part of a Kaggle Competition of the same name, scoring (for accuracy) above 0.9

classification correlation-analysis cross-validation data-modeling data-visualization dataframes eda gridsearchcv matplotlib multiclass-classification numpy pandas python seaborn sklearn statistics supervised-ml

Last synced: 11 Apr 2026

https://github.com/diegorezm/spc

Analise de espectros de Infravermelho por Transformada de Fourier (FTIR)

ftir-data-analysis numpy python

Last synced: 21 Apr 2026

https://github.com/chokzb/covid19_vaccination_analysis

An EDA project examining global COVID-19 vaccination progress. The notebook investigates vaccination trends by country, daily vaccination rates, timeline patterns, and dose distribution. The project includes visualisations created with Matplotlib, Seaborn, and Plotly.

covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas plotly python seaborn vaccination

Last synced: 07 May 2026

https://github.com/stdlib-js/blas-ext-linspace

Return a new ndarray filled with linearly spaced values over a specified interval along one or more ndarray dimensions.

arange arrange javascript linear linspace math mathematics matlab ndarray node node-js nodejs numpy seq sequence statistics stats stdlib

Last synced: 04 May 2026

https://github.com/4211421036/githubiotpy

GitHubIoT is a comprehensive toolkit designed to simplify the visualization of IoT (Internet of Things) data with seamless GitHub integration. The application provides an intuitive graphical interface for real-time data monitoring, analysis, and configuration

cli esp32 esp8266 github-actions github-iot matplotlib numpy pypi-packages python tkinter

Last synced: 16 Apr 2025

https://github.com/pramodyasahan/model-selection

This repository explores and compares different regression models for predicting continuous outcomes. This repository includes implementations and evaluations of five key regression models. The primary goal is to demonstrate how each model works, evaluate their performance using R-squared values, and guide users in selecting the best model.

machine-learning modelselection numpy pandas python regression scikit-learn

Last synced: 08 Mar 2025

https://github.com/ashishsingh789/traffic_accident_analysis

Analyzed traffic accident data to identify patterns related to road conditions, weather, and time of day. Visualized accident hotspots using heatmaps and bar plots.

excel matplotlib numpy pandas pandas-dataframe python seborn

Last synced: 11 Apr 2026

https://github.com/abhi227070/wine-quality-prediction

The Wine Quality Prediction project utilizes machine learning to assess wine quality based on various parameters. It offers a user-friendly interface built with Streamlit for easy interaction. Deployed on AWS, it provides scalable access to quality predictions for wine batches.

classification-algorithm machine-learning machine-learning-algorithms machinelearning matplotlib numpy pandas python3 seaborn

Last synced: 11 Apr 2026

https://github.com/harmanveer-2546/nasa-asteroid-classification

Classifying whether an asteroid is hazardous or not.

eda matplotlib numpy pandas python seaborn visualization xgboost

Last synced: 11 Apr 2026

https://github.com/dmarks84/coursework_project_text-mining-spam-analysis

Project for University of Michigan Applied Data Science Specialization -- Performed NLP in order to build features of email messages; trained various classification models to help predict if a message was spam.

classification databases eda nlp numpy pandas python scikit seaborn sentiment-analysis statistics supervised-ml text-mining unsupervised-ml visualization

Last synced: 11 Apr 2026

https://github.com/jbalooshie/movies-etl

Exercise working with movie datasets from Kaggle and Wikipedia. Python is used to extract, clean, and combine the data, and then it is loaded into a postgreSQL database.

data-analysis data-science jupyter-notebook numpy pandas postgresql postgresql-database python sqlalchemy

Last synced: 11 Apr 2026

https://github.com/supreme-gg-gg/beam-analysis

Fast, customisable, intuitive web application to simplify beam analysis. Certified by Bob the Builder.

civil-engineering matplotlib numpy python streamlit structural-analysis

Last synced: 11 Apr 2026

https://github.com/shubhamahobia/lstm-hamlet

The LSTM Next Word Prediction project trains a model on Hamlet to predict the next word in a sequence. After preprocessing the text, an LSTM network learns patterns in the language. The trained model can then generate text by predicting the next word in a given sequence, with its accuracy evaluated to ensure it effectively models the language.

deep-learning github hamlet lstm lstm-neural-network lstm-neural-networks machine-learning neural-network nltk numpy pandas pickle python

Last synced: 11 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 401 Libraries 239 ⚑ Productivity 101 🧠 AI Applications & Platforms 96 🐍 Python 91 Exercises 87 Models and Projects 74 πŸ“š Skill Development & Career 67 πŸ—ƒοΈ SQL & Databases 53 Tutorials and Blog Posts 53 πŸ€– Machine Learning & AI 52 πŸ“¦ Additional Python Libraries 51 πŸ“ More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 πŸ“‹ Cheatsheets 44 πŸ“Š Data Visualization 38 πŸ“ˆ Dashboards & BI 35 🎲 Statistics & Probability 34 Web 33 Videos 32