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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/ambrish8/bell-s-palsy

BELL’S PALSY SEVERITY DETECTION USING DEEP LEARNING

cnn-architecture imagedatagenerator keras numpy opencv python pytorch resnet-50

Last synced: 15 Apr 2026

https://github.com/andres29ac/website_heatmaprisk

Mapa hecho con Streamlit y Folium para mostrar la distribución delictiva de cada distrito de Trujillo mediante Mapas de Calor.

folium-maps heatmap-visualization numpy pandas ploty python stadistics streamlit

Last synced: 15 Apr 2026

https://github.com/sa001gar/password-manager-on-the-top-of-streamlit

Secure Password Manager is a Python-based application developed by Sagar Kundu, designed to provide users with a secure and convenient way to manage their passwords. With features like user authentication, password generation, and secure storage using bcrypt and MongoDB, it ensures the safety of sensitive information while offering an intuitive use

bcrypt gui-application mongodb numpy numpy-library pandas-dataframe pandas-library pandas-python password-generator password-manager pymongo python python3 streamlit-application streamlit-webapp urllib

Last synced: 15 Apr 2026

https://github.com/hansalemaos/cv2_stack_images

Stacks 2 images (horizontal/vertical)

concat cv2 images numpy python stack

Last synced: 28 Jan 2026

https://github.com/shwetapardhi/assignment-03-q5--hypothesis-testing

Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of

alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing null-hypothesis numpy pandas python scipy significance-testing stats

Last synced: 28 Jan 2026

https://github.com/subh888999/car-prices--analysis-projects

This repository houses projects focused on data collection, assessment, cleaning, visualization, and analysis. It includes workflows and methodologies for handling data, from initial gathering and evaluation to processing, visualizing insights, and performing in-depth analysis

jupyter-notebook matplotlib numpy panda seaborn statistics

Last synced: 03 May 2026

https://github.com/shahaba83/airplane-ticket-cancellation

In this project, we try to predict the possibility of canceling the plane ticket by the buyer

datatime numpy pandas python scikit-learn seaborn

Last synced: 25 Feb 2026

https://github.com/deepankkartikey/ml-projects

A repository of projects done while learning and exploring ML

classification csv machine-learning numpy pandas regression sklearn

Last synced: 15 Apr 2026

https://github.com/asherk7/house-price-prediction

House Prices - Advanced Regression Techniques - Predict sales prices and practice feature engineering, RFs, and gradient boosting

data-science numpy pandas regression scikit-learn

Last synced: 15 Apr 2026

https://github.com/jaypanchal9/fraud-detection-case-study

A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn xgboost

Last synced: 15 Apr 2026

https://github.com/hercules-peters/learn-ml-with-me

Welcome to **ML-Journey**, my personal progress tracker for mastering machine learning! This repository showcases my projects, notebooks, and explorations as I advance my skills, starting with hands-on projects.

machine-learning numpy pandas python sklearn

Last synced: 15 Apr 2026

https://github.com/martincastroalvarez/search-keras-gensim-elasticsearch

Search Engine using Word Embeddings, GloVe, Neural Networks, BART and Elasticsearch

elasticsearch gensim gensim-word2vec keras nlp numpy python scipy spacy word2vec

Last synced: 15 Apr 2026

https://github.com/ljadhav25/decision-tree-random-forest-algorithm-data-science-

This repository contains an implementation of decision tree and random forest algorithms from scratch in Python. Decision trees and random forests are popular machine learning algorithms used for classification and regression tasks. The goal of this project is to provide a clear and understandable implementation of these algorithms

data-analysis data-science decision-trees machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier

Last synced: 15 Apr 2026

https://github.com/itssahilwhat/ai-fundamentals

A curated collection of fundamental AI concepts, algorithms, and code implementations — including Machine Learning, Deep Learning, and Computer Vision — built from scratch and with practical examples.

computer-vision deep-learning machine-learning numpy pandas python pytorch scikit-learn

Last synced: 15 Apr 2026

https://github.com/tamk-kol/project_orbital_data_analysis

The goal of this project is to develop an automatic method to detect orbital maneuvers using machine learning.

matplotlib numpy pandas scikit-learn

Last synced: 30 Jan 2026

https://github.com/hossein-cod/practicing-deep-learning

with keras data set we load a data base and train our machine for test

deep deep-learning jupyter-notebook keras machine-learning matplotlib numpy py python sklearn tensorflow

Last synced: 25 Feb 2026

https://github.com/ishinzoo/songrecommendation

This project is a machine learning-based system that recommends songs based on the user's detected emotions. The application uses facial expression recognition to determine the user's current emotional state and suggests songs that align with that emotion. This system can be particularly useful for personalized music streaming services, helping use

machine-learning mediapipe numpy opencv os python tenserflow

Last synced: 25 Feb 2026

https://github.com/shwetapardhi/assignment-03-q4-hypothesis-testing

Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5

alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas python scipy significance-testing stats

Last synced: 31 Jan 2026

https://github.com/keyurparalkar/breast-cancer-detection

Predict whether the cancer is benign or malignant

gradient-descent logistic-regression machine-learning numpy

Last synced: 26 Apr 2026

https://github.com/thkox/uni_2023-compression-and-object-removal

This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.

2023 6th-semester colorama compression-algorithm department-of-informatics heapq lossless-compression-algorithm motion-compensation multimedia-systems numpy object-removal opencv-python pickle python scipy-stats university-of-piraeus

Last synced: 07 Feb 2026

https://github.com/moh-27sl/image-alignment--python-edition

Alignment of an unaligned image with a base/reference image using feature detection, feature matching, and homography in OpenCV.

ai classical-computer-vision classical-image-processing computer-vision computervision image-alignment image-processing imageprocessing neural-network numpy opencv python python3

Last synced: 15 Apr 2026

https://github.com/hansalemaos/npzigloc

Zig for Numpy

numpy python zig

Last synced: 31 Jan 2026

https://github.com/singhvishal003/sales-data-analysis

Data Analysis according to sale data.

matplotlib numpy pandas seborn

Last synced: 15 Apr 2026

https://github.com/dmitruzik/python_projects

All python projects are here

matplotlib numpy pandas python seaborn

Last synced: 15 Apr 2026

https://github.com/samiyaalizaidi/nn-ml-homeworks

Homework solutions for CPE-4903: Neural Networks & Machine Learning at Kennesaw State University.

machine-learning machine-learning-workflow neural-networks numpy scikit-learn

Last synced: 15 Apr 2026

https://github.com/martincastroalvarez/python-video-processing

Movie generator using MoviePy, OpenCV2 and Numpy.

moviepy numpy opencv

Last synced: 15 Apr 2026

https://github.com/dhruvv1402/document-scanner-python-opencv

Transform smartphone photos into scanned documents in seconds! This Python-based document scanner automatically detects edges, corrects perspective, and enhances document images to produce clean, scanner-like results.

canny-edge-detection contour-detection imutils numpy opencv python scikitlearn-machine-learning warpperspective

Last synced: 15 Apr 2026

https://github.com/arv-anshul/campusx-graphs

Contains all the graphs provided by CampusX to learn Statistics and Algebra with some added feature.

algebra campusx-dsmp data-science matrix numpy statistics streamlit vizualisation

Last synced: 15 Apr 2026

https://github.com/vyask21/opencv-drowsy

Drowsiness detection can be quickly done using shape predictor face landmarks.dat model file that mark the essential landmarks on the face using OpenCV modules.

numpy opencv-python scipy

Last synced: 08 Feb 2026

https://github.com/anshpg/exploration-in-image-processing-digit-image-generation

This project, developed by Anshuman Pattnaik, explores image processing techniques using Python libraries such as pandas, numpy, matplotlib, and cv2 (OpenCV). The primary objective of the project was to delve into image processing with a focus on creating a unique dataset and algorithm for image generation.

cv2 image-generation image-processing ipynb-jupyter-notebook matplotlib-pyplot numpy opencv pandas

Last synced: 01 Feb 2026

https://github.com/bineet-ratna-shakya/data-science-salary-analysis

analyzing a dataset containing salaries of data science professionals from 2020 to 2023.

data-analysis data-science data-visualization jupyter numpy pandas python

Last synced: 01 Feb 2026

https://github.com/audeering/audmath

General math functions

math numpy

Last synced: 07 Feb 2026

https://github.com/nits2612/data-science-projects

Portfolio of data science projects completed by me during PGP AI/ML, self learning, and hobby purposes.

data data-science dataanalysis deep deep-learning keras machine-learning matplotlib numpy opencv pandas python scikit-learn seaborn surprise-python tensorflow transfer-learning

Last synced: 01 Feb 2026

https://github.com/mohamedelashri/lvec

Python package for seamless handling of Lorentz vectors

awkward hep hep-ex numpy physics root root-cern uproot

Last synced: 25 Feb 2026

https://github.com/rissh/titanicsurvivalpredictionusingml

Predicting Titanic passenger survival through machine learning. This project includes data preprocessing, exploratory data analysis, feature engineering, and model training using Python. 🚢

data data-analysis data-science data-visualization dataanalysis jupiter-notebook machine-learning machine-learning-algorithms machinelearning matplotlib numpy pandas prediction prediction-model python python3 seaborn tenserflow tflearn titanic

Last synced: 01 Feb 2026

https://github.com/vladimiracunadev-create/python-data-science-program

Python Data Science Program — 197 clases en 9 partes. Pauta avanzada derivada de Géron, VanderPlas, Huyen, ISLP y Barocas/Hardt/Narayanan. Recurso personal de aprendizaje, enseñanza y mejora continua.

bootcamp data-analysis data-science education jupyter machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 01 Jun 2026

https://github.com/sharkb8t/credit-risk-classification

Demonstrates my abilities to use Jupyter Notebook with scikit-learn to train and evaluate a machine learning model.

jupyter-notebook numpy pandas pathlib python scikit-learn

Last synced: 15 Apr 2026

https://github.com/chandkund/customer-segmentation

Customer segmentation divides customers into distinct groups based on characteristics and behaviors. This project uses K-Means clustering, an unsupervised machine learning algorithm, to segment customers and provide insights for targeted marketing strategies

kmeans-clustering matplotlib numpy pandas python seaborn

Last synced: 15 Apr 2026

https://github.com/coueghlani/nlp

Proyecto de Procesamiento de Lenguaje Natural y Análisis de Datos

mineria-de-datos nlp nlp-machine-learning nltk numpy procesadores-de-lenguajes sklearn spacy

Last synced: 08 Feb 2026

https://github.com/giihcastro/trabalho-fisica

3D VPython Electromagnetic Particle Motion Simulator

numpy python vpython

Last synced: 15 Apr 2026

https://github.com/ryancswallace/npdb

Parallel NumPy-like interface for large n-dimensional arrays on disk.

mapreduce-designpatterns numpy numpy-arrays parallel-computing python

Last synced: 09 Feb 2026

https://github.com/sarowarahmed/predicting-kolkata-house-price

🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.

app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit

Last synced: 26 Feb 2026

https://github.com/murugavl/forage_tata_genai_powered_data_analytics

This repository showcases my work from the TATA GenAI Powered Data Analytics Virtual Experience on Forage, where I applied data cleaning, analysis, and visualization techniques to derive actionable business insights.

excel genai matplotlib numpy pandas powerbi python

Last synced: 09 Feb 2026

https://github.com/carterbox/libimage

Provides large (2k) test images as NumPy arrays.

images numpy python

Last synced: 15 Apr 2026

https://github.com/mariam-zaidi/bike-sharing-prediction-model

Build a multiple linear regression model for the prediction of demand for shared bikes.

linear-regression matplotlib numpy pandas rfe seaborn sklearn

Last synced: 09 Feb 2026

https://github.com/baschin1103/neural-network-building-in-python

In this repository is a programm with a pretrained artificial neural network from Building AI. The network predicts the price of a cabin based on it's attributes.

bias building-ai forward-pass functioning identity linear-combinations neural-network numpy python regression relu

Last synced: 16 Apr 2026

https://github.com/foggysmile/ml_labs_itmo

Лабораторные работы по машинному обучению

bert decision-trees jupyter-notebook machine-learning numpy pandas random-forest xgboost

Last synced: 11 Feb 2026

https://github.com/karthikarajagopal44/numpy-beginner-to-advanced

This repository is designed to help you master NumPy, the fundamental package for scientific computing with Python. Whether you are just getting started or looking to refine your skills with advanced techniques, this repo covers a comprehensive range of topics and functionalities. It covers the range of topics from beginner to advance.

data-science numpy numpy-library numpy-tutorial python

Last synced: 16 Apr 2026

https://github.com/walkerdustin/python-linear-regression

simple linear regression in python based on coursera andrew ng course

ai linear-regression machine-learning ml numpy python

Last synced: 05 May 2026

https://github.com/mouradhamzaoui/tweets_sentiments_emotions_analysis

Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle

nltk numpy pandas sklearn

Last synced: 16 Apr 2026

https://github.com/bharatsharma07/ipl-analysis

This project provides insights into the IPL's historical data, helping to identify trends, player performance, and team strategies.

data-visualization ipl-data-analysis numpy pandas python

Last synced: 16 Apr 2026

https://github.com/ankit21111/carpredict

This project predicts car prices using machine learning models, including Simple and Multiple Linear Regression. It covers data acquisition, feature selection, and optimization techniques like Ridge Regression. The best model, Multiple Linear Regression, achieved an R² score of 0.84. Check out the full analysis in the repository!

data-analysis data-visualization matplotlib numpy pandas pyhton scipy seaborn sklearn

Last synced: 16 Apr 2026

https://github.com/tzepart/choosing-oil-region

Choosing and initialisation a machine learning model that will help determine the region where production will bring the greatest profit with the least risk of loss.

matplotlib ml numpy pandas seaborn sklearn

Last synced: 16 Apr 2026

https://github.com/arserchung/ml_cnn

Basis CNN intro& project of recognize to cat or dog

glob keras keras-models numpy opencv os sklearn tensorflow

Last synced: 13 Feb 2026

https://github.com/harmonicode/signal_equalizer

Signal Equalizer is a Python-based application designed to process and analyze various types of signal data, including audio and ECG signals. It provides functionalities for reading, processing, visualizing, and enhancing signal data using techniques such as Wiener filtering.

audio-processing numpy pyqt5 scipy signal-processing wiener-filter

Last synced: 13 Feb 2026

https://github.com/separatrixxx/nm_labs_6_7_sem

👓 Laboratory work for 6 and 7 semesters of MAI on numerical methods

numerical-methods numpy python

Last synced: 16 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_09

Модуль 9. Підбір гіперпараметрів НМ. Глибоке навчання. Tensorflow. Keras.

adam-optimizer data-science google-colab keras keras-tensorflow numpy python

Last synced: 16 Apr 2026

https://github.com/vgvr0/analisis-de-datos-con-streamlit-numpy-pandas-y-matplotlib

Sistema completo de análisis y visualización de datos cinematográficos que proporciona insights detallados sobre películas, incluyendo análisis financiero, puntuaciones, tendencias temporales y un sistema de recomendación. Desarrollado con Python y Streamlit, ofrece una interfaz interactiva y amigable para explorar datos de películas.

matplotlib numpy pandas plotly plotly-dash recommendation-system streamlit

Last synced: 16 Apr 2026

https://github.com/andreashovaldt/simple-neural-network

A simple neural network, created with numpy, based on Stochastic Gradient Descent, used for classifying the MNIST dataset

mnist-classification neural-network numpy stochastic-gradient-descent

Last synced: 16 Apr 2026

https://github.com/codersales/machine-learning-classification

machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4 | frequent

authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation

Last synced: 07 Mar 2026

https://github.com/limix/ndarray-listener

Implementation of the Observer pattern for NumPy arrays.

numpy observer-pattern

Last synced: 14 Feb 2026

https://github.com/kavayk29/speech-recognition-using-tdnn-and-data-augmentation

Developed a speech recognition system using TDNN, preprocessing audio, extracting MFCC features, and training the model. Fine-tuning with augmented data (19,000 rows) improved accuracy from 9% to 80% training and 40% validation. Data augmentation proved crucial for enhancing model performance and generalization. Still working to increase the acc.

deep-learning keras-tensorflow numpy os pandas tdnn tensorflow

Last synced: 14 Feb 2026

https://github.com/mattia-hulathduwage/wine-quality-analyzer

A machine learning project that analyzes wine quality using clustering, regression, and classification techniques. The model predicts wine quality scores based on chemical properties and determines the most influential features affecting quality.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/saurabh274/netflix-eda

Analyze the data and generate insights that could help Netflix in deciding which type of shows/movies to produce and how they can grow the business in different countries.

matplotlib numpy pandas python seaborn

Last synced: 28 Feb 2026

https://github.com/killervardhan8/gesturedecode

The Sign Language Interpretation project focuses on recognizing and interpreting hand gestures to facilitate communication for individuals who use sign language. This project leverages computer vision and machine learning techniques to accurately identify and translate hand signs into text

csv mediapipe numpy python tensorflow

Last synced: 28 Feb 2026

https://github.com/mchenryspagg/economic-variable-correlation-and-productivity-model

This report provides an in-depth analysis of Nigeria's economic performance over the past decade, spanning from 2014 to 2024.

correlation exchangerates inflation moneysupply numpy productivity python regression regression-analysis regression-models visualization

Last synced: 15 Feb 2026

https://github.com/ben854719/trade-transfer-workflow-optimizer

This AI portfolio tools securely analyzes asset allocation, sector exposure, and performance. Its graph compares real and predicted close prices, enhanced with sentiment indicators such as “Confident” and “Surprised.” An avatar assistant provides user guidance combining technical accuracy with intuitive explanations.

agentic-ai avatar cryptography emotion-analysis encryption gemini json langgraph langraph machine-learning-algorithms matplotlib mcp-server numpy opencv-python pandas python pytorch rs256 seaborn

Last synced: 15 Feb 2026

https://github.com/nagar2nd/ml-regressionmodel---cardekho-price-prediction

This repository features a machine learning model for predicting used car prices using data from CarDekho.com. The project leverages exploratory data analysis and regression techniques to empower sellers and buyers with actionable insights in the Indian used car market.

analytics cleaning-data data linear-regression machine-learning matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3

This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.

imbalanced-learning numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

https://github.com/anujdutt9/reinforcement_learning

Reinforcement Learning using Numpy and PyTorch.

numpy python3 pytorch reinforcement-learning

Last synced: 16 Apr 2026

https://github.com/lorenzorottigni/ml-advertising

Machine Learning python bootcamp: logistic regression on advertising dataset

ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/pramodyasahan/health-insurance-cost-prediction

This project focuses on predicting health insurance costs using a polynomial regression model. By employing machine learning techniques in Python, the project aims to accurately estimate insurance costs based on various personal attributes. The model takes into account several features including age, sex, BMI, number of children, smoking status etc

machine-learning matplotlib numpy pandas python3 scikit-learn

Last synced: 16 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 51 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 35 Videos 34 🎲 Statistics & Probability 34 Web 33