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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/redinfinitypro/python-task-manager
Rating: (7/10): The Python Task Manager, is a user-friendly interface using tkinter library for system monitoring and management. It displays detailed system process information using psutil, with interactive features.
matplotlib numpy psutil pygetwindow tkinter
Last synced: 30 Apr 2026
https://github.com/professornova/ann-scratch
This repository implements a simple Artificial Neural Network (ANN) from scratch using only NumPy.
artificial-intelligence neural-network numpy scratch
Last synced: 30 Apr 2026
https://github.com/ayushshrivstava/es654_prereqtest
Prerequisite test for the Machine Learning course ES654
jax matplotlib numpy pandas sympy
Last synced: 30 Apr 2026
https://github.com/chandkund/movie-recommender-system
Unlocking the magic of personalized movie recommendations! This project uses the Cosine Similarity Algorithm to suggest movies based on user-selected titles, making movie discovery more enjoyable.
cosine-similarity matplotlib nltk numpy pandas-python seaborn
Last synced: 12 May 2026
https://github.com/isaacalves7/nvidia-cuda
👁️🗨️📗 It's a repository of Nvidia CUDA programming.
anaconda gpu-programming numba numpy nvidia-cuda python3
Last synced: 30 Apr 2026
https://github.com/03-bunny-06/japan-heart-attack-analysis
This project analyzes heart attack data in Japan, focusing on gender-based differences in risk factors such as smoking, diabetes, alcohol consumption, and regional variations. The dataset is cleaned and processed using Pandas and NumPy, extracting insights on affected individuals based on lifestyle and health conditions.
data-cleaning dataframes numpy pandas python risk-analysis
Last synced: 20 Apr 2026
https://github.com/johassel/feed_forward_neural_network
Fully-connected feed-forward neural network based on the couse "Python for Machine Learning" at TU Berlin WiSe 24/25
machine-learning neural-networks numpy python
Last synced: 30 Apr 2026
https://github.com/mukeshthenraj/video-engagement-prediction
ML project to predict video engagement using Random Forest & XGBoost
gridsearchcv matplotlib numpy pandas random-forest-classifier roc-auc-curve scikit-learn video-analytics xgboost
Last synced: 30 Apr 2026
https://github.com/pedasoft-consult/sentiment_analysis
This project involves analyzing customer reviews to classify them as positive or negative using Logistic Regression. The workflow includes text preprocessing, feature extraction, training a model, making predictions, and evaluating its performance.
Last synced: 30 Apr 2026
https://github.com/darinochka/course_python_iad
ДЗ\Семинары майнора "Интеллектуальный анализ данных"
machine-learning numpy pandas python3
Last synced: 30 Apr 2026
https://github.com/abhiram-epuru/ai-powered-movie-recommender
A Movie Recommendation System using the MovieLens dataset, leveraging collaborative filtering techniques such as KNN (k-Nearest Neighbors) and Singular Value Decomposition (SVD). The project demonstrates a personalized recommendation model capable of suggesting movies based on user preferences and interaction data.
matplotlib numpy pandas python sckiit-learn seaborn
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https://github.com/prarthana-singh/bangalore-house-price-predictor
🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.
data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn
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https://github.com/alphan26/airbnb-data-visualization
I've used the airbnb new york dataset from kaggle to make a comprehensive data visualization using pandas, seaborn, matplotlib.
machine-learning matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/normyee/chatbot-pytorch_nlp
ChatBot utilizing neural networks, NLP techniques, and the Bag of Words model. Implements tokenization and stemming for efficient language processing.
bag-of-words chatbotai neural-network nlp-machine-learning nltk-python numpy python pytorch-nlp
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https://github.com/ranagaballah/true-fake-news
True Fake News Detector NLP model
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https://github.com/lmizner/codecademy_biodiversity
Using knowledge of data analysis to interpret data about endangered animals for the National Park Service
barplot jupyter-notebook matplotlib-pyplot numpy pandas python seaborn
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https://github.com/ola-kaznowska/summer-programming-camp-gp-travel-2024
Projects implemented at summer programming camp https://github.com/ArsBeneMoriendi
ai artificial-intelligence cv2 json math neural-network numpy python3 tensorflow
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This repository contains a collection of projects developed during a university Python course. Each project explores different aspects of data processing, analysis, and computer vision.
2dgame bomberman-game computer-vision convolution harris-corner-detector image-processing keypoint-detection numpy pandas python statistical-analysis
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https://github.com/manorohith-03/attendance-system-using-face-recognition
The system leverages the Python programming language and several powerful libraries for image processing and face recognition. The ultimate goal is to provide a more efficient, accurate, and user-friendly attendance tracking solution.
face-recognition numpy opencv pandas python-3
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https://github.com/eryks1999/titanic-project
jupyter matplotlib numpy pandas python seaborn titanic-kaggle
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https://github.com/mogankumar/bird-flock-simulation-with-pyspark
A PySpark-based bird flock simulation modeling alignment, cohesion, and separation forces with a leader guiding the flock. Efficiently handles large-scale simulations and generates a visualized GIF of the flock’s movement.
argparse matplotlib numpy pyspark python3
Last synced: 01 May 2026
https://github.com/koki0702/chainer0
A Small Chainer (Chainer From Zero)
chainer deep-learning neural-networks numpy python
Last synced: 01 May 2026
https://github.com/tom-uchida/datascience_handbook
Python private lesson
data-science matplotlib numpy python
Last synced: 01 May 2026
https://github.com/gojoel/brockton-data-analysis
Analyzes police logs from the city of Brockton, MA and attempts predictive analysis.
data-science exploratory-data-analysis geopy machine-learning matplotlib numpy pandas seaborn
Last synced: 09 May 2026
https://github.com/bjpcjp/optimize-mktg-spend-with-lagrange
simple demo of marketing (2 channel) spend optimization
lagrange matplotlib matplotlib-pyplot numpy python scipy
Last synced: 01 May 2026
https://github.com/afondiel/intro-to-artificial-intelligence-free-course-le-wagon
Intro to Artificial Intelligence Free Course from @LeWagon
ai ai-courses artificial-intelligence data-science lewagon machine-learning numpy pandas prophet-facebook regression-models scikit-learn sklearn
Last synced: 01 May 2026
https://github.com/tfiers/unitlib
📐 Physical units for NumPy arrays \ ⏱ Fast • Simple • High voltage
numpy python scientific-computing unitlib units
Last synced: 13 May 2026
https://github.com/sairupeshl/portfolio-risk-calculator
A portfolio risk engine using Python, integrating the Yahoo Finance API to ingest and preprocess historical multi-asset price data
Last synced: 08 Jun 2026
https://github.com/jupfu/beck-view-digitalize
Digitalize 16mm films with Python & reactivex & FT232H
cython ft232h libpng multiprocessing numpy opencv python3 reactivex um232h
Last synced: 09 May 2026
https://github.com/hghyhghy/notebook
Repo consist numpy , matplotlib and pymongo aggression
jupyter-notebook matplotlib numpy pymongo python-3
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https://github.com/ismaelvr1999/bioinspiredalgorithms
This repository contains implementations of various bioinspired algorithms for optimization and machine learning.
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https://github.com/shibbir24/amazon-product-sales-data-analysis-trends-and-insights
Amazon Product Sales Data Analysis: Trends and Insights
amazon-dataset data-analysis matplotlib numpy pandas seaborn
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https://github.com/mohhasan1/machine-learning
This repository is where I learn and store information about various machine learning libraries, such as Pandas, scikit-learn, and others. It serves as a personal reference for exploring and experimenting with different ML tools and techniques.
machine-learning matplotlib numpy pandas seaborn sklearn
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https://github.com/cbhihe/nn_binary-classifier
NN-based binary classification with logistic regression loss, back-propagation with gradient descent and optional regularization
classifier gradient-descent logistic-regression neural-network numpy python regularization sklearn
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https://github.com/avinashkr-ai/data-science-using-python-jupyter-notebook
Data Science Using Python Jupyter Notebook
data-science jupyter jupyter-notebook numpy pandas python
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https://github.com/abdoomohamedd/python-data-analysis-projects
A collection of data analysis projects that I have worked on. Each project involves cleaning data, performing exploratory data analysis (EDA), and creating visualizations to extract insights. The projects utilize various Python libraries, including pandas, numpy, matp
data-analysis data-analysis-python data-cleaning data-visualization matplotlib matplotlib-pyplot numpy pandas python
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ML - classificação por vizinhança
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Code samples from the Intel Nervana AI Academy University held in FUTA
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Analysis of LEGO data from 1949 to 2021.
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Dashboard para compreender as preferências musicais dos ouvintes, tendências regionais e o impacto de artistas específicos.
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https://github.com/offthetab/nn_homework
Практические работы по нейронным сетям МИРЭА 3 курс.
gensim ignite matplotlib neural-network nltk numpy pandas scipy-stats seaborn torch torchvision
Last synced: 01 May 2026
https://github.com/mayankanand007/betago
Platform for tracking Go moves using Computer Vision. (StarterHacks 2018 submission)
java matlab matplotlib numpy opencv-python python3
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Fundamentals of Scientific Computing (MS1980) Notebook
jupyter matplotlib numpy pandas python
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deeplearning nueral-networks numpy python pytorch
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https://github.com/hariprasath-v/job-a-thon---may-2021
Exploratory Data Analysis
eda exploratory-data-analysis matplotlib missingno numpy pandas pandas-python plotnine
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https://github.com/muhammadadilnaeem/bcg-data-science-job-simulation-on-forage-august-2024
This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.
bcg customer-churn-prediction-with-machine-learning data data-science forage numpy pandas
Last synced: 01 May 2026
https://github.com/winterwind/mlp_and_cnn
A short two-part project involving using an MLP and a CNN for ECG signal data
cnn convolutional-neural-network csv-files jupyter jupyter-notebook mlp neur numpy python pytorch
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https://github.com/laszlokorte/canny-notebook
Numpy Canny Edge detector implementation to visualize each step
canny-edge-detection image-processing jupyter-notebook numpy
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https://github.com/bhavnanahar/coral_project
ChatGPT said: This project analyzes and predicts the health of coral reefs in the Florida Keys by examining coral cover and species richness trends over time.
colab-notebook matplotlib numpy pandas plotly python random-forest scikit-learn seabo
Last synced: 14 Apr 2026
https://github.com/dpb44/exploring-the-intuition-of-neural-networks-on-a-classification-problem-using-only-numpy
Implementing a softmax-based neural network from scratch using NumPy to classify the Iris dataset, leveraging vectorization, gradient descent, and decision boundary visualization.
deep-learning neural-network numpy softmax-classifier
Last synced: 02 May 2026
https://github.com/ricardorobledo/malicious_server_hack_detection
Predictive model to detect malicious hacking patterns in banking servers. Utilizes advanced Machine Learning techniques such as SMOTE, Gradient Boosting, and probability calibration to predict attacks befor
anaconda cibersecurity imbalanced-data imbalanced-learning imblearn kaggle matplotlib numpy pandas pandas-library python3 sklearn
Last synced: 14 Apr 2026
https://github.com/v-goncharenko/freespace
Implementation of signal propagation in free space
numpy python signal-processing
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https://github.com/mgitrov/ann-from-scratch
An artificial neural network implemented from scratch using numpy only.
artificial-neural-networks deep-learning guide numpy
Last synced: 02 May 2026
https://github.com/lipskiyp/trading_dashboard
Pandas framework to analyze financial time-series and calculate various performance metrics (e.g. Sharpe Ratio and Max Drawdown Duration).
financial-analysis numpy pandas
Last synced: 02 May 2026
https://github.com/shreeparab1890/unicorns-of-india-till-sep-2022-analysis-eda
This ipython notebook is the Exploratory data analysis (EDA) of the Unicorns of India till Sep 2022.
analysis data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly
Last synced: 02 May 2026
https://github.com/jbizzlefoshizzle/weather_trends_vs_latitude
Pandas project analyzing possible correlation between latitude and max. temperature, wind speed, cloudiness, and humidity
json-api jupyter-notebook matplotlib-pyplot numpy weather-information
Last synced: 13 May 2026
https://github.com/parham1998/linear_regression_pytorch
Implementation of a simple Linear Regression model with Numpy & PyTorch library
backpropagation gradient-descent linear-regression loss-functions numpy python pytorch
Last synced: 02 May 2026
https://github.com/lorenzorottigni/dl-houses
Deep Learning python bootcamp: exploratory data analysis & deep learning on houses price dataset
deep-learning ipynb machine-learning numpy pandas python scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026
https://github.com/krook1024-uni-archive/kmeans
kmeans implementation for a university course
kmeans kmeans-clustering machine-learning numpy python
Last synced: 02 May 2026
https://github.com/camsai/jupyterlite
CAMSAI JupyterLite is a lightweight, browser-based environment tailored for AI-driven materials science research. It integrates CAMSAI tools, schemas, and workflows, enabling users to validate data, run simulations, and explore materials science applications without requiring local installation or setup.
chemistry jupyterlite materials materials-design materials-informatics materials-science matplotlib numpy pyodide python scipy
Last synced: 02 May 2026
https://github.com/sducournau/ign_lidar_hd_dataset
🏗️ Comprehensive Python library for processing IGN LiDAR HD data into machine learning-ready datasets for Building Level of Detail (LOD) classification. Features GPU/CPU processing, smart data management, and complete ML pipeline integration.
building-classification data-processing dataset france geospatial gis ign lidar lidar-hd numpy point-cloud scikit-learn
Last synced: 20 Jan 2026
https://github.com/hariprasath-v/solafune_aerosol_optical_depth_estimation
Estimate AOD using Sentinel-2 data, leveraging its spectral bands and spatial resolution to improve accuracy.
catboost efficientnet exploratory-data-analysis huggingface jupyter-notebook matplotlib numpy pandas pearson-correlation python remote-sensing seaborn solafune timm transformer
Last synced: 02 May 2026
https://github.com/rubaramanan/irisclassifierwith_keras
iris-classification keras numpy pandas
Last synced: 02 May 2026
https://github.com/zolppy/recommendation-system
This project demonstrates the creation of a content-based image recommendation system. It leverages a pre-trained VGG16 deep learning model to extract meaningful feature vectors from images. These features are then compared using cosine similarity to identify and recommend visually similar images.
computer-vision deep-learning keras machine-learning numpy recommendation-system sklearn tensorflow vgg16
Last synced: 12 Apr 2026
https://github.com/rishieeee/spam-email-classifier
A simple machine learning project that classifies emails as spam or ham using TF-IDF and a Multinomial Naive Bayes model. The project covers data cleaning, text preprocessing, feature extraction, model training, and evaluation. A great beginner-friendly introduction to NLP and ML workflows.
multinomial-naive-bayes numpy pandas python sckit-learn tf-idf
Last synced: 09 May 2026
https://github.com/ksharma67/intel-stock-predication-wiith-eda
We are trying to design a model that can predict the price of stock using different methods and algorithms.
eda linear-regression machine-learning-algorithms matplotlib numpy pandas prediction python scaler seaborn skit-learn
Last synced: 02 May 2026
https://github.com/mattkevan/data-science
Notes from learning various data science topics.
data-science matplotlib numpy python3
Last synced: 09 May 2026
https://github.com/netbr3ak/planetary-system-simulation
Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.
astronomy flask gravitational-dynamics numerical-analysis numpy physics planetary-systems scipy simulation web-application
Last synced: 14 Apr 2026
https://github.com/vermenea/masters---ad-signaling-pathway-using-hsp90-inhibitor
Influence of 17-AAG a Hsp90 inhibitor on signaling pathway in Atopic Dermatitis
matplotlib numpy pandas python seaborn statmodels
Last synced: 02 May 2026
https://github.com/tonoy30/emotion-mask
A pytorch model for add face mask based on detected emotion.
emotion-detection numpy opencv-python python pytorch
Last synced: 09 May 2026
https://github.com/asuquoaa/big_4_sports_teams_and_city_population_analysis-2018-
Analysis of sports teams' win/loss ratios vs. metro area populations across NFL, NBA, MLB, and NHL.
data-cleaning-and-preprocessing numpy pandas
Last synced: 13 May 2026
https://github.com/yeisson8a/tallerdataanalysis
Taller de Data Analysis utilizando Python y las librerías Pandas, NumPy, Seaborn, Matplotlib para manipulación de datos de un archivo, así como la librería Statsmodels para regresiones lineales.
analisis-de-datos linear-regression matplotlib numpy pandas python3 seaborn statsmodels
Last synced: 14 Apr 2026
https://github.com/nimaabediforud/heart-disease-prediction
The project highlights the end-to-end workflow of data preprocessing, model building, evaluation, and comparison for a healthcare prediction task.
biomedical-applications biomedical-data-science biomedical-engineering classification deep-learning machine-learning neural-networks numpy pandas prediction python seaborn sklearn tensorflow
Last synced: 15 Apr 2026
https://github.com/hadjuse/spotify-recommendation-knn
Here is a personal project where i use KNN project to classify songs
data-science graphics interpretation knn-classification machine-learning matplotlib music numpy plotly spotify
Last synced: 03 May 2026
https://github.com/swatisinghit/treadmill-customer-profiling-for-aerofit
Create comprehensive customer profiles for each AeroFit treadmill product through descriptive analytics. Develop two-way contingency tables and analyze conditional and marginal probabilities to discern customer characteristics, facilitating improved product recommendations and informed business decisions.
analytics conditional-probability data-analysis data-science data-visualization eda numpy pandas probability statistics
Last synced: 08 May 2026
https://github.com/helenaden/data-science-fundamentals
This project delves into fundamental data science concepts using Python libraries like NumPy and Pandas
data-analysis datascience datasets datavisualization datawrangling heatmap numpy pandas patterns python
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https://github.com/bhavna-kale/cars-eda-project
Project analyzing used car market data to identify high-impact price drivers and depreciation curves, presented through an interactive web application.
data-analysis excel matplotlib numpy pandas python3 searborn streamlit
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https://github.com/krumyakimov/house-price-developments-in-bulgaria
I developed this project for my final exam in the Data Science course at SoftUni.
data-science jupyter-notebook matplotlib numpy pandas scipy seaborn
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https://github.com/raduldev/biopython
Biopython Record Work and few extra coding excercise
bioinformatics biopython gromacs jupyter-notebook matplotlib numpy pandas python3
Last synced: 03 May 2026
https://github.com/kisaa-fatima/foreground-segmentation-using-kmeans-face-recognization-using-knn
Implement a basic version of the interactive image cut-out/segmentation approach called Lazy Snapping. The program uses K-Means Clustering to segment images into foreground and background based on user-provided seed pixels.
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https://github.com/alexbie98/bietorch
neural nets with numpy
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https://github.com/prathicashettym/agriculturallanddetection
6th Semester SDG EL
flask keras matplotlib numpy pandas python seaborn streamlit tensorflow
Last synced: 13 May 2026
https://github.com/fandredev/ml-my-guide
my own annotations about ML/DS using pandas, matplotlib, numpy, scikit learn
anaconda matplotlib numpy pandas plotly scikit-learn seaborn
Last synced: 03 May 2026
https://github.com/flexthink/matricize
A convenience library to convert between pure Python objects and their vectorized representations
data machine-learning numpy python
Last synced: 09 May 2026
https://github.com/k-ilyas/ai-projects-handwritten-digit-recognition-titanic-survivor-analysis
AI Projects: Handwritten Digit Recognition & Titanic Survivor Analysis using scikit-learn
machine-learning numpy pandas sickit-learn
Last synced: 03 May 2026
https://github.com/raveenaross/bulldozer-price-prediction
Predicting the sale price of bulldozers using machine learning
matplotlib numpy pandas sklearn time
Last synced: 07 Oct 2025
https://github.com/ishaj72/analysis_model2
Dataset analysis model using matplotlib and other libraries
machine-learning matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/kingsley-ezenwaka/mean-var-std
This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.
Last synced: 09 May 2026
https://github.com/aliakbar-omidi/iris-practice-project
This project is a test modeling for the Iris flower dataset
decisiontreeclassifier gridsearchcv iqr numpy pandas pca sklearn-decomposition sklearn-metrics
Last synced: 03 May 2026