NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-07-16 00:17:56 UTC
- JSON Representation
https://github.com/crispengari/netflix-statistics
This is the visualisation of two categories of netflix movies which are: * movies * tv shows
data-science datafram jupyter-notebook matplotlib numpy pandas python
Last synced: 27 Apr 2026
https://github.com/vikkiezdev/ai-global-index-analysis
This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.
cleaning-data correlation-analysis eda matplotlib numpy pandas python3 seaborn statistical-analysis
Last synced: 06 May 2026
https://github.com/gustavodinizmonteiro/pagehank
gephi information-retrieval numpy pagerank pandas pipenv python python3
Last synced: 14 Apr 2026
https://github.com/lupin3000/tello-python
Python application to control the DJI Tello Drone with different controllers.
debian dji-sdk djitellopy drone dualsense-controller evdev hidapi macos numpy opencv python stadia-controller tello unihiker
Last synced: 27 Apr 2026
https://github.com/gopikrsmscs/mycinepick-recommendation-system
MyCinePick is a user-specific movie recommendation system built using collaborative filtering techniques. This project aims to provide personalized movie suggestions tailored to each user's unique viewing preferences and habits.
collaborative-filtering movie-recommendation-app numpy python3 recommendation-system sklearn streamlit
Last synced: 14 Apr 2026
https://github.com/saptarshi11/diamlp---diabetes-classification-with-multilayer-perceptron
Diabetes Classification using Multilayer Perceptron (MLP) is a binary classification problem where the goal is to predict whether a patient has diabetes (positive class) or not (negative class) based on a set of biomedical features or risk factors.
artificial-neural-networks binaryclassification machine-learning mlp-classifier numpy seaborn
Last synced: 27 Apr 2026
https://github.com/beyza-ozben/fft_ses_temizleme
BİL314-Sinyaller ve Sistemler Dersi/Final Projesi (Fourier Dönüşümü)
audio-denoising conda-environment fastfouriertransform fft librosa matplotlib noisereduce numpy python scipy-library soundfile
Last synced: 27 Apr 2026
https://github.com/romanectatyana/fuel_norm
Practical data analytics case: calculating and optimizing fuel consumption norms for vehicles and heavy equipment. (Аналітичний проєкт із визначення норм витрат палива для автотранспорту та спецтехніки.)
matplotlib numpy pandas plotly power-bi
Last synced: 06 May 2026
https://github.com/lesterevse/numvision
Artificial Intelligence for recognizing numbers
Last synced: 27 Apr 2026
https://github.com/jbayardo/dip-tp2
compression image-processing jpeg numpy python scikit-image
Last synced: 27 Apr 2026
https://github.com/erikbavenstrand/neural-network-implementation
An Artificial Neural Network Implementation in Numpy to work with MNIST dataset.
ai feedforward-neural-network machine-learning mnist neural-network numpy python
Last synced: 27 Apr 2026
https://github.com/18mahi/tweet-sentiment-analysis
Classify tweets into happy, sad, angry, excited, and neutral with this interactive Python model. Combining TF-IDF text features with engineered numeric features like emoji sentiment, polarity, subjectivity, and punctuation counts, it demonstrates intermediate-level NLP, feature engineering, and visualization skills.
data-science data-visualization jupyter-notebook machine-learning matplotlib nlp numpy pandas sklearn string textblob
Last synced: 30 Apr 2026
https://github.com/moonmoonsamal/data-driven-google-ads-for-listing-sites-analysis
Analyzed Google Ads performance to identify top channels, keywords, and geographical impact
cleaning-dataset eda manipulation modelling numpy visualization
Last synced: 27 Apr 2026
https://github.com/facusm/prediccion-precio-de-propiedades
jupyter-notebook numpy pandas python sickit-learn
Last synced: 06 May 2026
https://github.com/gyselle-marques/calculodemetricas-desafiodio
Machine Learning: Cálculo de Métricas de Avaliação de Aprendizado em Python.
accuracy brazilian-portuguese colab-notebook confusion-matrix dio-bootcamp dio-challenges f-measure f-score machine-learning matplotlib numpy precision python recall sklearn specificity statistics xgboost
Last synced: 27 Apr 2026
https://github.com/rscr1/summer_practice_mai_2
Решение всех заданий летней практики
matplotlib numpy pandas python scipy sympy
Last synced: 14 Apr 2026
https://github.com/farhannirzhor/python_eda_project_on_diwali_sales_analysis
In this project, I was given a sales data. I analyzed their sales data and shared a summary
data-cleaning data-manipulation exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/l2nce/datamining-study
Introduction to data mining
data-analysis data-mining matplotlib numpy panda
Last synced: 28 Apr 2026
https://github.com/leavers/npblob
Transfer numpy array between Python and JavaScript losslessly
array javascript matrix numpy python streaming typescript
Last synced: 06 May 2026
https://github.com/thekartikeyamishra/colorextractor
A Python-based project that extracts the dominant colors from an image using the KMeans clustering algorithm. This project is useful for applications like image processing, color palette generation, or analyzing the most prominent colors in images.
kmeans-clustering matplotlib matplotlib-pyplot numpy p pillow python sklearn
Last synced: 05 May 2026
https://github.com/filipporanza/signal_lib
personal programs for signal analysis
numpy python3 signal-analysis signal-processing
Last synced: 28 Apr 2026
https://github.com/keizerzilla/como-funciona-meshgrid
Apontamento breve explicando como a função meshgrid do Numpy funciona.
Last synced: 28 Apr 2026
https://github.com/vasukalariya/neural-network-from-scratch
It's a simple Feedforward Neural Network implemented just using Numpy
artificial-neural-networks classification mnist neural-network numpy
Last synced: 28 Apr 2026
https://github.com/eshansugeesh/fico-score-loan-default-modeling-project
Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.
bucketing classification credit-risk customer-segmentation data-science discretization fico-score financial-analytics loan-analysis loan-default log-likelihood machine-learning numpy pandas predictive-modeling risk-modeling scikit-learn segmentation statistical-modelling
Last synced: 06 May 2026
https://github.com/cinnaavox/loan-prediction
Machine Learning project predicting loan approvals using Decision Tree Classification. Includes data cleaning, feature engineering, model evaluation and key business insights.
decision-trees matplotlib numpy pandas python scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/binoydipu/ml-libraries
Machine Learning Libraries Repository
Last synced: 28 Apr 2026
https://github.com/rishant/data-science-learning-2025
data science learning 2025
data-science jupyter numpy pandas python python3
Last synced: 28 Apr 2026
https://github.com/tdeepa20/heart-disease-prediction-using-ml
Machine Learning models to predict heart disease using patient medical data
datascience jupyer-notebook machinelearning numpy python sklearn
Last synced: 28 Apr 2026
https://github.com/yanyan69/acss-techlaro
arduino-uno automation numpy opencv prototype python raspberry-pi raspberry-pi-camera ultralytics yolo
Last synced: 28 Apr 2026
https://github.com/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1
Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv
kurtosis matplotlib-pyplot numpy pandas python seaborn skewness
Last synced: 06 May 2026
https://github.com/ronverse17/automate-data-cleaning
This project automates messy data cleaning tasks - like fixing column names, filling missing values, and spotting outliers, so analysts and data scientists can spend more time on insights, not preprocessing.
Last synced: 28 Apr 2026
https://github.com/hai4320/ml_ai_notebook
All my note about ML, AI and Data Science
ai machine-learning numpy pandas scikit-learn
Last synced: 28 Apr 2026
https://github.com/varun-khorgade/salesense-e-commerce-analytics
Analyzed e-commerce datasets to discover customer behavior trends and business insights. Performed EDA, data cleaning, and visualizations to help stakeholders make data-driven decisions.
customer-behavior-analysis dashboards datacleaning exploratory-data-analysis feature-engineering jupyter-notebook matplotlib numpy pandas python seaborn sql time-series-trend visulaization
Last synced: 28 Apr 2026
https://github.com/gregoritsch3/dl_cnn_resnet50_digitrecognition
A Deep Learning Computer Vision project on the MNIST Digit Dataset. The project demonstrates the use of four TensorFlow Neural Network architectures, ranging from a basic Shallow Sigmoid Model to a Deep Convolutional Model constructed using the FunctionalAPI, and even a modified Resnet50 Model. Includes Error Analysis and test runs on real images.
cnn convolutional-neural-networks cv2 keras matplotlib numpy resnet-50 tensorflow
Last synced: 28 Apr 2026
https://github.com/hadson0/chess-live-ratings-data
A study project focused on web scraping the live chess ratings from chess.com, with data analysis and visualization on nearly 5000 players in the classical world ranking.
beautifulsoup chess data-analysis data-visualization numpy pandas python seaborn web-scraping
Last synced: 28 Apr 2026
https://github.com/dwade-eng/amazon-product-recommender-prototype-
This project is a content-based product recommendation engine inspired by Amazon's "Customers who viewed this item also viewed" feature. It uses a dataset of product metadata and user interactions to suggest similar items based on product titles, brands, and categories using TF-IDF vectorization and cosine similarity.
html numpy pandas python3 scikit-learn
Last synced: 28 Apr 2026
https://github.com/rajivaleaakash/customer-churn-prediction
A machine learning project focused on predicting customer churn using various data analysis and modeling techniques. The repository includes data preprocessing, feature engineering, exploratory data analysis (EDA), model training, evaluation, and visualization to help businesses identify customers at risk of leaving.
churn-prediction classification customer-churn data-analysis data-science gridsearchcv imblearn machine-learning numpy pandas pyhton randomsearchcv scikit-learn
Last synced: 28 Apr 2026
https://github.com/jovicdev97/financial-loan-datascience-notebook
using numpy and pandas to analyze a synthetic loan dataset with python
data-analysis matlabplot numpy pandas plotting python seaborn
Last synced: 28 Apr 2026
https://github.com/kashinathbiradar/bangalore-housing-price-prediction
The objective of the project is to create a machine learning model. We are doing a supervised learning and our aim is to do predictive analysis to predict housing price.
css deta doc html machine-learning matplotlib numpy pandas preprocessing seaborn sklearn sql
Last synced: 06 May 2026
https://github.com/varakanthamsaihruthikreddy975/avocadopricesanalysis
This data analysis finds out the trends and analysis of avocado data by year
matplotlib-pyplot numpy pandas scipy scipy-stats seaborn sklearn-preprocessing
Last synced: 28 Apr 2026
https://github.com/yanisdib/somint
Somint - AI-powered Trading Card Grading
ai api devcontainer docker numpy opencv python yolov8
Last synced: 28 Apr 2026
https://github.com/abdeldjalilchafai/us-flight-delay-eda
Structured EDA on 2015 US flight delay data. Clean, reproducible notebook using a 6-step data analysis framework for real-world datasets.
data-analysis data-cleaning eda exploratory-data-analysis flight-delays kaggle matplotlib numpy pandas python seaborn
Last synced: 28 Apr 2026
https://github.com/anshpg/popularity-based-book-recommendation-system
I developed a popularity-based book recommendation system using Google Colab, leveraging libraries like pandas, numpy, and matplotlib. The dataset was obtained from Kaggle.com, consisting of three CSV files: books.csv, ratings.csv, and users.csv.
collab csv kaggle-dataset matplotlib-pyplot numpy pandas python
Last synced: 28 Apr 2026
https://github.com/udipta14/historical-olympic-games-eda-python
Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.
data-cleaning data-visualization eda matplotlib numpy pandas python3 seaborn
Last synced: 28 Apr 2026
https://github.com/shahriarha/programming
Python problem solving, HR-30 days of code, DSA, NumPy
algorithms-and-data-structures cpp numpy programming python
Last synced: 06 May 2026
https://github.com/pedronjorge/average-face
Generate an average face from a given set of images by detecting facial landmarks, aligning features, and blending the images using Delaunay Triangulation. Libraries used: Dlib, OpenCV, NumPy
dlib image-generation jupyter-notebook numpy opencv python3
Last synced: 30 Apr 2026
https://github.com/robinhosz/traffic-data-analyzer
This repository presents a project for urban traffic signal optimization using Reinforcement Learning (RL) to improve traffic flow, increase safety at intersections, and promote energy efficiency in cities. Using the "Traffic Volume Counts" dataset from Kaggle.
data-analysis-python kaggle-dataset numpy pandas python traffic-analysis
Last synced: 28 Apr 2026
https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies
This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.
activelearning cuda entropy kldivergence margin numpy python pyto uncertainty
Last synced: 06 May 2026
https://github.com/iv4n-ga6l/crowd-move-simulation
Crowd move simulation in python
matplotlib numpy python simulation
Last synced: 28 Apr 2026
https://github.com/alekiie/streamlit-dashboard
A dashboard that utilizes the power of streamlit charts to create intuitive and easy to understand charts for data visualization.
data-visualization matplotlib numpy pandas python3 streamlit
Last synced: 07 May 2026
https://github.com/ianjure/simple-neural-network
Implementing a simple neural network using only Numpy.
deep-learning neural-network notebook numpy scratch-implementation
Last synced: 06 May 2026
https://github.com/shreeparab1890/indian-elections-2019-analysis-eda
This ipython notebook is the Exploratory data analysis (EDA) of the Indian Lok Sabha Elections 2019.
data data-analysis data-science data-visualization eda exploratory-data-analysis matplotlib numpy pandas plotly python python3 visualization
Last synced: 28 Apr 2026
https://github.com/amirjahantab/deep-ml-solutions
ML Code Challenges
ai algorithms backpropagation data-science deep-learning-algorithms deep-neural-networks linear-algebra machine-learning machine-learning-algorithms mathematics matrix numpy pca python
Last synced: 06 May 2026
https://github.com/rubaramanan/irisclassifier_with_scikitlearn
iris-classification machine-learning numpy pandas scikit-learn
Last synced: 28 Apr 2026
https://github.com/semanticdata/traffic-studies
Comprehensive traffic analysis dashboard for Crystal, Minnesota, built with Streamlit.
matplotlib numpy pandas plotly python seaborn streamlit
Last synced: 28 Apr 2026
https://github.com/ddeepanshu-997/datascience--olympics-games
in this repository i am going to perform some datascience techinques on the datasaet in order to get the valuable insights with the help of python libraries , packages etc.
data-science exploratory-data-analysis insights matplotlib-pyplot numpy pandas-dataframe problem-solving python visualization
Last synced: 28 Apr 2026
https://github.com/manalisbhavsar/stock-price-prediction
Stock Price Prediction model using Machine Learning and LSTM to forecast future stock prices based on historical data. Achieved a low error rate of 3.2% by leveraging moving averages and deep learning techniques, ensuring accurate predictions.
data-analysis deep-learning lstm machine-learning matplotlib numpy pandas python
Last synced: 28 Apr 2026
https://github.com/kingsley-ezenwaka/medical-data-visualizer
A data analysis project that investigates a dataset of anonymous patients' medical information, and explores the relationship between cardiac disease, body measurements, blood markers, and lifestyle choices.
analysis data matplotlib numpy pandas seaborn
Last synced: 28 Apr 2026
https://github.com/iama02/vet-medicine-analysis
Analysis of 50,000+ veterinary medicine records with Pandas and NumPy, highlighting dosage forms, manufacturers, indications, and shelf life trends.
Last synced: 06 May 2026
https://github.com/khalidkhankakar/numpy-for-data-science
Exploring the full Numpy library for DS
data-science dataexploration jupyter numpy python
Last synced: 28 Apr 2026
https://github.com/ahmedsamir45/mean_variance_standard_deviation_calculator
take list of numbers and return it 3x3 array and calculate mean variance and std for rows columns and all array
mean numpy standard-deviation variance
Last synced: 28 Apr 2026
https://github.com/redinfinitypro/drawimages
Rating: (8/10) The code uses Python's Turtle module to create a canvas image, converting it to grayscale, and then placing dots at each pixel's location based on its intensity.
Last synced: 28 Apr 2026
https://github.com/mahmood-anaam/wheeled-robot-simulation
A Python simulation of a robot equipped with four Swedish wheels, focusing on accurately modeling its kinematics and dynamics to analyze specific motion scenarios.
kinematics-dynamics matplotlib-python numpy python robotics-simulation roboticstoolbox-python swedish-wheels
Last synced: 28 Apr 2026
https://github.com/josualimbu/face-recognition
Face Recognition with Name, and only need 1 image for 1 person for the dataset to run Face Recognition.
face-detection face-recognition numpy python simple-face-recognition
Last synced: 28 Apr 2026
https://github.com/rishabhmathur06/fetching-jobs-data-using-beautifulsoup
beautifulsoup numpy pandas python webscraping
Last synced: 06 May 2026
https://github.com/christabelsakyi/tsec
This project implements a time series forecasting solution for predicting electricity consumption based on historical data. It provides multiple model options, a Flask API for deployment, and visualization tools.
facebook numpy pandas python sklearn time-series-analysis
Last synced: 07 Oct 2025
https://github.com/toxe/python-plotting
Python Plotting
matplotlib numpy pandas plotting python
Last synced: 06 May 2026
https://github.com/frolov-andrey2405/mandelbrot-s-fractal
Mandelbrot's Fractal Constructions
Last synced: 06 May 2026
https://github.com/skorupcia/winequality-white
winequality-white.csv visualization
matplotlib numpy pandas seaborn sklearn
Last synced: 06 May 2026
https://github.com/billgewrgoulas/recommendation-systems
Algorithms for joke rating prediction using the joke data-set from Kaggle.
algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi
Last synced: 06 May 2026
https://github.com/sanchezluys/inmersion-en-datos-con-python-2024
Inmersión en Datos con Python Julio 2024
analisis-de-data colab inmersiondatosaluralatam numpy pyhton
Last synced: 28 Apr 2026
https://github.com/waghraj1699/codeclauseinternship_predicting_house_prices
Task 1 of the CodeClause Internship
data-science machine-learning-algorithms numpy pandas-dataframe
Last synced: 28 Apr 2026
https://github.com/keyurparalkar/knn-for-cifar-10
K-nearest neighbour algorithm for CIFAR-10 dataset
Last synced: 28 Apr 2026
https://github.com/babaquero07/escalamiento-imagenes-python
Proyecto del curso Algebra Lineal - UTADEO
matloptlib numpy pillow scipy streamlit
Last synced: 28 Apr 2026
https://github.com/linsanity03/fraud_detection_using_autoencoders
Leverage autoencoders, a type of neural network, for detecting fraudulent financial transactions by identifying anomalies in transaction patterns that deviate from the norm.
matplotlib numpy pandas pytorch seaborn
Last synced: 28 Apr 2026
https://github.com/ksprugevics/galton-board
Python implementation of the Galton board
galton-board numpy pygame pymunk python
Last synced: 29 Apr 2026
https://github.com/yashpaneliya/bank-loan-default-analysis
Analyze and understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default.
data-analysis loan-default-analysis matplotlib numpy pandas python
Last synced: 06 May 2026
https://github.com/alonmell/modulnet
Lightweight NumPy-based neural network framework with core layers, loss functions, optimizers, and data utilities
deep-learning from-scratch machine-learning neural-network numpy
Last synced: 29 Apr 2026
https://github.com/fimbres/numpy-start
A crash project with the most important numpy functions and methods, used in data science, AI and machine learning.
data-science numpy python python-script
Last synced: 29 Apr 2026
https://github.com/santiagoenriquega/game_of_life
This repository contains simulates Conway's Game of Life using Pygame for graphics and Numpy for array operations. The game simulates cellular automata where cells evolve based on simple rules.
conways-game-of-life numpy pygame python python3
Last synced: 29 Apr 2026
https://github.com/rakesh3596/apple-phone-sales-analysis
Apple Phone Sales Analysis using Python tools like Pandas, Matplotlib, Numpy, Plotly, Apple csv file
csv-files csv-reader matplotlib numpy pandas plotly python
Last synced: 14 Apr 2026
https://github.com/gurramankit/censusproject_ml_randomforest
The objective of this project is to build a classification model using the Census Income dataset from the UCI Machine Learning Repository. The model predicts whether an individual's income exceeds $50,000 per year, based on their demographic and employment-related attributes.
matplotlib numpy pandas python random-forest scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/ianhaggerty/final-capstone
This represents the final capstone project in my HyperionDev Data Science (fundamentals) course. A dataset of Amazon customer reviews is analysed using natural language processing.
amazon data-analytics data-science data-visualization dataset matplotlib nlp nlp-machine-learning numpy pandas plotly reviews seaborn spacy tabulate textblob wordcloud
Last synced: 19 Jan 2026
https://github.com/shefreenkaur/nlp_query_documents
This repository contains two implementations of an NLP document query system that processes PDF documents and ranks them based on relevance to user queries.
easyocr naive-bayes nlp numpy ppmi pymupdf tf-idf
Last synced: 29 Apr 2026
https://github.com/shoaib1522/introduction-to-data-science
Unlock the world of data science with hands-on tutorials, interactive notebooks, and essential resources! Whether you're a beginner or looking to refine your skills, this repo offers a comprehensive guide to mastering Python, Git, NumPy, Pandas, and more—empowering you to analyze, visualize, and transform data like a pro! 🚀📊💻
confusion-matrix github-config kaggle matplotlib numpy pandas python3 script visualization
Last synced: 14 Apr 2026
https://github.com/kacemmathlouthi/deep-ml-problems
a collection of solved machine learning, linear algebra, and deep learning problems from deep-ml.com
deep-learning linear-algebra machine-learning numpy python
Last synced: 29 Apr 2026
https://github.com/cuuupid/better-tensorflow
MNIST classifier api
graph-model machine-learning neural-network numpy pickle sigmoid
Last synced: 29 Apr 2026
https://github.com/louis-finegan/least-squares-method-curve-fitting-python3
Applying the Least-Square-Method to Curve-Fit in python using Numpy.
curve-fitting least-squares numpy
Last synced: 29 Apr 2026
https://github.com/iv4n-ga6l/genderdetection
Gender detection using gender classification model
genderclassification genderdetection numpy pil python resnet18 torch torchvision
Last synced: 29 Apr 2026
https://github.com/tuokri/rs2simlib
Python library for Rising Storm 2: Vietnam physics objects simulation and automated data collection.
numba numpy physics rising-storm-2-vietnam simulation unreal-engine-3
Last synced: 23 Feb 2026
https://github.com/thekartikeyamishra/interactive-ai-model-trainer
A Google Colab notebook for interactively training simple AI/ML classification models. Features CSV upload, dummy data generation, feature/target selection, model choice, and basic evaluation. Includes a user-friendly UI. Ideal for educational purposes. See screenshots below!
google googlecolab ipywidgets matpl numpy pandas python scikit-learn seaborn
Last synced: 29 Apr 2026
https://github.com/skypse/santander-coders-data_science-course
Curso de Data Science, proposto pelo Satander, utilizando Python!
jupyter-notebook numpy pandas-python python scikit-learn
Last synced: 29 Apr 2026
https://github.com/rand-asswad/controle_optimal
Une étude d'un problème de contrôle optimal avec visualisation 3D
controle-optimal numpy optimal-control python sympy
Last synced: 29 Apr 2026
https://github.com/flashdroid15/food_safety_security_dtp3
Modelling food safety and food security using Python
data-processing data-visualization matplotlib multiple-linear-regression numpy pandas python seaborn
Last synced: 29 Apr 2026
https://github.com/manishkumarpatel07/facial-recognition-attendance-manager
An AI-powered face recognition attendance system using Python, OpenCV, and dlib for real-time attendance tracking.
dlib-face-recognition numpy opencv pandas python
Last synced: 29 Apr 2026