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/ahmed-maher77/signlink___graduation-project
𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐒𝐢𝐠𝐧 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐓𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐨𝐫 | A web and mobile app that bridges communication gaps for the deaf and hard-of-hearing community by translating English and Arabic sign language into real-time text and speech, and converting spoken words into text during video calls.
csharp fastapi firebase-realtime-database flutter framer-motion javascript microsoft-dot-net-technologies numpy opencv python pytorch reactjs scikit-learn scss-framework sign-language-recognizer sign-language-translation sql-server tailwindcss webrtc websockets
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https://github.com/fdopa/curso-ciencia-datos
Contenido completo del curso
calculus csv data-science database example graphics-programming ipynb-jupyter-notebook jupyter-notebook library markdow-editor markdown md migration notebook numpy pandas preview python rules web
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This project will create a live geo-visualization dashboard using data from the PhonePe Pulse GitHub repository.
matplotlib numpy pandas python sklearn sql streamlit
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https://github.com/tapas-gope/telecommunication-customer-churn
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feature-engineering matplotlib-pyplot model-evaluation-and-validation numpy pandas python scikit-learn
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analytics csv data-analysis data-science data-visualization dataset eda exploratory-data-analysis jupyter-notebook kaggle machine-learning matplotlib numpy pandas portfolio python seaborn statistics titanic visualization
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machine-learning numpy pandas python scikit-learn
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border crop image-processing numpy pillow python python3
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arrays grids hacktoberfest numpy python spreadsheet
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csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn
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catboostregressor data-science exploratory-data-analysis feature-engineering gradio gradio-interface klib machine-learning numpy optuna pandas python seaborn sklearn
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arima-forecasting arima-model data-science numpy pandas python seaborn
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This repository focuses on 🔍 scraping, 🧹 cleaning, and 📊 visualizing job market data in India. It automates job listing collection from platforms like 🌐 Naukri, Indeed, and LinkedIn using 🐍 BeautifulSoup/Selenium. The scraped data is then 🛠️ cleaned and standardized, handling ❌ missing values, 🏷️ formatting inconsistencies, and 🔎 extracting
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Mnist handwritten digit classifier from scratch using numpy only and also with CNN-tf. The aim is to make the models of almost equal accuracy.
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computer-vision gui numpy opencv-python pil roboflow tkinter yolov8
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simple and important statics operations and Famous statistical problems , also algebra operations
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matplotlib numpy pandas python
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Electric Vehicle market in India using Segmentation analysis and come up with a feasible strategy to enter the market, targeting the segments most likely to use Electric vehicles.
data-science machine-learning-algorithms matplotlib numpy numpy-arrays pandas seaborn statistics
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A single implementation of a machine learning algorithm for a firewall data classification task
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100 exercise on NumPy library. NumPy (Numerical Python) is a package used for scientific computing with Python.
Last synced: 18 May 2026
https://github.com/rohansoni45/movie-recommendation-system
This project is a Content-Based Recommender System that suggests movies to users based on their preferences and watched history. The system leverages cosine similarity to find and recommend movies similar to a selected title. It is built using Python and libraries like Pandas, NumPy, and Scikit-learn.
content-based-filtering cosine-similarity data-analysis data-science machine-learning numpy pandas python recommender-system render scikit-learn
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https://github.com/ugurcan222/a-different-approach--image-enhancement-with-imputation-and-regression-methods
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ai-image-upscaling computer-vision digital-image-processing gradient-boosting image-analysis image-enhancement image-enlargement image-interpolation image-processing imputation knn machine-learning numpy opencv pixel-prediction python randomforest regression-models super-resolution xgboost
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beautifulsoup json matplotlib numpy pandas python scipy scraping seaborn
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bootstrap css flask font-awesome html numpy pandas pickle
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We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.
catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn support-vector-machine
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data-analysis flat json numpy pandas pickle project python streamlit
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apis citipy datetime gmaps json-traversal jupyter-notebook matplotlib numpy pandas python requests scipy
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artificial-intelligence cnn cv2-library data-science data-visualization deep-learning keras matplotlib numpy opencv predictive-modeling python tensorflow
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https://github.com/vbhvsingh0/cdc_immunization
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data-cleansing data-manipulation-with-pandas data-science numpy pandas-python python3
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https://github.com/brenderb/python-projects
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csv fitting matlab matplotlib numpy os pandas pyplot python scipy uncertainty
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correlation-analysis data-science matplotlib-pyplot numpy pandas python3
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https://github.com/vbhvsingh0/fraudulent_transactions
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credit-card-fraud data-science logistic-regression machine-learning numpy numpy-python pandas pandas-python python3 random-forest-classifier
Last synced: 09 May 2026
https://github.com/avs123a/image-edge-detection-demo
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demo edge-computing edge-detection image-analysis image-manipulation image-processing jupyter-notebook numpy python python27 python3
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https://github.com/isa1asn/mnist-neural-net
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from-scratch keras mnist-classification neural-networks numpy pandas relu-activation softmax tensorflow
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https://github.com/notshrirang/opennn
Neural Networks for humans. An implementation from scratch in Python using NumPy. Consists of Optimizers such as Adam, SGD, Adagrad, RMSProp, and activation functions ReLU, Softmax and Losses. All implemented from scratch.
deep-learning machine-learning neural-network numpy
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https://github.com/technologicat/orderfix
Reorder solutions of parametric studies to make continuous curves
cython eigenvalues numpy postprocessing python python2 python27 python3 python34
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https://github.com/alexsolov28/vkrb
Выпускная квалификационная работа бакалавра «Система анализа алгоритмов машинного обучения для решения задач классификации с использованием Pandas»
jupyter-notebook matplotlib numpy pandas python scikitlearn seaborn streamlit
Last synced: 15 Feb 2026
https://github.com/harmanveer-2546/motor-vehicle-accidents-in-india
As per the report, a total of 4,61,312 road accidents have been reported by States and Union Territories (UTs) during the calendar year 2022, which claimed 1,68,491 lives and caused injuries to 4,43,366 persons.
accidents accidents-analysis darkgrid data-analysis eda exploratory-data-analysis indian-roads inline matplotlib motor-vehicles numpy pandas review seaborn visualization
Last synced: 19 Jan 2026
https://github.com/mituskillologies/aiml-dypiemr-sep24
Programs conducted at DYPIEMR, Pune in training on AIML during September 2024.
artificial-intelligence data-analysis data-science machine-learning matplotlib neural-network numpy pandas python3
Last synced: 05 Apr 2025
https://github.com/harmanveer-2546/guide-to-regularization
Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.
generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn
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https://github.com/harmanveer-2546/ad-click-prediction-analysis-and-insights
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ads analysis classification-report click insights linearregression matplotlib numpy onehotencoder pandas pipeline prediction preprocessing randomforestclassifier seaborn sklearn sklearn-compose sklearn-library sklearn-metrics standardscaler
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https://github.com/djdhairya/fish-species-detection-and-recognition
Dataset
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ai machine-learning nlp numpy pandas
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Welcome to the Heart Disease Prediction project! 🩺 This project focuses on developing a predictive model to assess heart disease risk based on health indicators like age, cholesterol levels, and blood pressure. By analyzing these features, we aim to create an effective tool for early diagnosis and heart disease prevention
machine-learning matplotlib numpy pandas python seaborn sklearn
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https://github.com/shivjotchoudhary/shivjot-core
High-performance Python utilities for AI/ML workflows, computer vision, and enhanced Pandas/NumPy data engineering.
computer-vision data-science machine-learning numpy pandas python
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https://github.com/Mike014/SoundBot
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chatbot dsp nlp nlp-library nlp-machine-learning numpy python scipy sound-processing
Last synced: 12 Sep 2025
https://github.com/aapo-kossi/christmas_tree_spectrogram
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colab-notebook numpy pandas python
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https://github.com/hanzopgp/tensorflowtest
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artificial-intelligence convolutional-neural-networks deep-learning lstm-neural-networks machine-learning matplotlib multilayer-neural-networks numpy personal recurrent-neural-networks sklearn tensorflow
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bokeh matplotlib numpy pandas pyplot python3 seaborn
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Compile serialized math.js expression trees into fast, reusable Python callables. Optional parse extra.
ast compiler expression-evaluator expression-parser expressions formula formula-parser formulae mathjs numpy
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https://github.com/razvan48/digit-recognizer-in-python
A simple digit recognizer written using Python.
graphics knn knn-algorithm knn-classification machine-learning machine-learning-algorithms numpy pygame python
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https://github.com/alyssahusna44/poai-image-classification
An implementation of an AI model that classifies animal subspecies. The project involved data preparation, model training using ResNet50, DenseNet121, and MobileNetV3, and evaluation using metrics: accuracy and mAP. 🗂️
artificial-intelligence image-classification machine-learning model-training-and-evaluation neural-networks numpy pandas python tensorflow
Last synced: 09 Apr 2026
https://github.com/orthoin3d/django-ndarrayfield
New Django field to store numpy ndarray.
django django-fields numpy numpy-arrays
Last synced: 07 Mar 2026
https://github.com/hi-shekhar/data_science
Data science
algorithm-comparison decision-trees keras kmeans linear-regression logistic-regression numpy pandas python sentiment-analysis svm time-series visualization webcrawler
Last synced: 05 Apr 2026
https://github.com/zohaib-cheema/defacto
DeFacto is a machine learning-based tool that classifies fake news articles using a hybrid model built with Scikit-learn, TensorFlow, and Keras. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.
flask git keras numpy pandas r scikit-learn tensorflow
Last synced: 07 Apr 2026
https://github.com/prajakta1321/authencheck
Amdocs Gen AI Graduate Hackathon 2024-25- A comprehensive fact-checking and misinformation detection system that leverages cutting-edge AI models and multiple news sources to verify information circulating on social media
api bert-fine-tuning flask-application matplotlib ngrok-server nlp nlp-machine-learning numpy pandas python3 scikit-learn seaborn wandb
Last synced: 05 Apr 2026
https://github.com/ediloaz/machine-learning-study-and-tests
Some codes for testing new features in Machine Learning while I'm studying and understand how to works it.
cv2 jupyter-notebook machine-learning numpy python pytorch tensorflow
Last synced: 08 Apr 2026
https://github.com/bbergerud/tenops
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Last synced: 20 Jan 2026
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A comprehensive analysis of a financial institution's loan portfolio using Python, focusing on data preprocessing, exploratory data analysis (EDA), and feature engineering.
credit data-science data-visualization eda exploratory-data-analysis finance jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn
Last synced: 09 Apr 2026
https://github.com/elmezianech/email-spam-ham-classifier-nb-simple
Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.
countvectorizer emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering
Last synced: 07 Apr 2026
https://github.com/ramyacp14/global-warming-analysis
Analyzes and visualizes global temperature data to identify climate change trends. The project includes global and seasonal temperature trend analysis, country-wise and city-specific temperature visualizations, and geospatial analysis with interactive maps and heatmaps.
data-visualization folium geospatial-analysis jupyter-notebook matplotlib numpy opencage-geocoder pandas plotly python seaborn
Last synced: 07 Apr 2026
https://github.com/krishbharadwaj5678/clearbg
Instantly remove backgrounds from any image with Clear BG. Upload your photos, remove the unwanted backdrop, and download the result in seconds.
background-remove background-remover deployment numpy onnxruntime pillow python python3 rembg streamlit
Last synced: 07 Apr 2026
https://github.com/zakircodearchitect/intent-classifiers-on-regression-models
This project compares five optimization algorithms (GD, SGD, Momentum, RMSProp, and Adam) on Univariate Linear Regression and a neural network for Intent Classification with the ATIS dataset. It evaluates convergence speed, stability, and final loss, showing that Adam delivers the best performance across both models.
atis-dataset intent-classification jupyter-notebook keras keras-neural-networks matplotlib numpy python regression-models tenserflow
Last synced: 02 May 2026
https://github.com/hariprasath-v/job-a-thon---may-2021
Exploratory Data Analysis
eda exploratory-data-analysis matplotlib missingno numpy pandas pandas-python plotnine
Last synced: 01 May 2026
https://github.com/rgandhi8/inventory-management-system
This project is an AI-driven Inventory Management System designed to optimize supply chain efficiency by leveraging machine learning techniques for demand forecasting. The system integrates ARIMA and ANNs to predict inventory needs, minimize shortages, and reduce holding costs also enhances decision-making by automating inventory planning.
dashboard inventory-management-system machine-learning numpy pandas python seaborn
Last synced: 08 Jun 2026
https://github.com/laszlokorte/canny-notebook
Numpy Canny Edge detector implementation to visualize each step
canny-edge-detection image-processing jupyter-notebook numpy
Last synced: 02 May 2026