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: 2026-06-23 00:21:44 UTC
- JSON Representation
https://github.com/thevarunsharma/similar-word-finder
A web application with Python backend which finds words similar to a given word, using pre-trained GloVe word embeddings.
flask-application machine-learning nlp numpy python word-embeddings
Last synced: 07 May 2026
https://github.com/rickydoan/machine-learning-risk-model-prediction-classification
This project leverages machine learning to provide insights into loan and credit risk. By analyzing user-provided financial data, it predicts the likelihood of loan default, generates a credit score, and assigns a risk rating. Designed to assist financial institutions and individuals in making informed decisions
classification joblib machine-learning numpy pandas python sklearn-library streamlit
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https://github.com/simran2911/flight-price-pridiction
This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.
accuracy-score catboostregressor machine-learning matplotlib numpy pandas r2-score random-forest-regression seaborn xgboost-regression
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https://github.com/w86763777/numpynet
A simple Deep Learning framework powered by numpy.
backpropagation cnn deeplearning fundamental numpy python
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https://github.com/affromero/pixelcache
A versatile image processing library for Python with built-in support for caching, using Pillow, NumPy, and PyTorch.
image-processing numpy opencv pillow pytorch torchvision
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https://github.com/gehad-ahmed30/data-analysis
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analysis matplotlib numpy pandas python seaborn
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https://github.com/asut00/machine-learning-program_42ai
Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
linear-regression machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/nikhilroxtomar/introduction-to-numpy
A list of jupyter notebook explaining the various functions and properties of Numpy.
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https://github.com/nikorasu/cellularautomata
Nik's Cellular Automata Projects
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https://github.com/dhairyac/student-performance-analysis
Analyze and visualize features affecting student performance
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https://github.com/charmve/numpycnn
Building Convolutional Neural Networks From Scratch using NumPy
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https://github.com/sumonta056/bangladeshi-vehicle-number-plate-detection
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candy-edge connected-components edge-detection grayscale-images morphological-analysis numpy opencv python radon-transform scikit-image sobel-edge-detector
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https://github.com/nikhilroxtomar/fully-connected-neural-network-in-numpy
This is an efficient implementation of a fully connected neural network in NumPy.
dnn neural-network numpy python3
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https://github.com/da-luce/cornell-autobike
Codebase of the Cornell Autonomous Bicycle Team
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CUDAを使用したGPU演算をNumPyと同様のインターフェースで簡単行えるライブラリ。A library that allows users to easily perform GPU operations using CUDA with a NumPy-like interface.
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https://github.com/aarmn/maryam
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https://github.com/chandadiya2004/mnist-digit-classification
This repository demonstrates MNIST digit classification using deep learning. It includes a neural network model built with frameworks like TensorFlow to classify handwritten digits (0-9) from the MNIST dataset. The project covers data loading, preprocessing, model training, evaluation, and accuracy visualization.
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https://github.com/akash-rajak/large-image-preview
Python Script to view large image using scroll bars.
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https://github.com/cyberoctane29/unicorn-companies-analysis
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https://github.com/redinfinitypro/laser-strategy
Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.
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https://github.com/sralter/sustainability_insights
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https://github.com/sudipbishwakarma/bulk-remove-onesignal-users
Bulk remove OneSignal subscribed users blazingly faster with parallel processing.
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https://github.com/n1colasf/bigdata-cert
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A VTO
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Machine Learning Course Topic wise Assignments and Projects
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https://github.com/ndohvich/ndohvich
Je suis un grand fan de l'analyse des données avev PYTHON
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beautifulsoup colab-notebook dataframes numpy pandas python requests testing webscraping
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https://github.com/martincastroalvarez/python-deep-learning-algorithms
Combinatorics implemented with numpy, matplotlib and scipy.
algebra combinatorics matplotlib numpy python scipy
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https://github.com/tasninanika/mammographic-masses-analysis-dt
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https://github.com/xushiyan/udacity-machine-learning
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https://github.com/jayanthsd2003/ams-attendance_management_system
Project based on AMS-Attendance Management System
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https://github.com/coqui123/tradegpt
TradeGPT is a full-stack cryptocurrency trading application that combines a modern Fresh (Deno) frontend with a Python (FASTAPI) backend for Coinbase integration and Azure AI Services for intelligent trading analysis. 💹
analytics automation cryptocurrency data deno fastapi fresh numpy python trading-algorithms trading-strategies tradingbot typescript
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https://github.com/skazemi/genadequacy.jl
Tools for single node generation adequacy analysis
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https://github.com/jesussantana/ibm-skills-courses
IBM Data Science, Machine Learning & Deep Learning Courses to Increase your Skills Development
analysis classification clustering data-mining data-science deep-learning folium machine-learning matplotlib npl numpy pandas python3 regression-models seaborn sklearn supervised-learning unsupervised-learning visualization web-scraping
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https://github.com/kishore-sr/creditworthy
AI-powered web app built at "Codeathon 2024" IIIT Bangalore
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https://github.com/i-am-nolan25/bells-palsy-ml-research
A Machine Learning Model to Grade the Severity of Bell's Palsy
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https://github.com/shanmukhsrisaivedullapalli/smsspamclassification
SMSSpamClassification is a machine learning project aimed at accurately classifying SMS messages as either spam or ham (non-spam). It employs natural language processing techniques to extract relevant features from the text data and utilizes various classification algorithms to build a robust spam detection model.
jupyter-notebook numpy pandas pickle python3 sklearn spam-classification spam-detection
Last synced: 11 Apr 2026
https://github.com/sergio11/breast_cancer_diagnosis_mlp
🩺🔬 MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. 📊🤖
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https://github.com/amishmathur1/resumeats
✨ With Resume ATS Analyzer, users can improve their resume quality, boost ATS compatibility, and increase their chances of landing interviews — all with smart AI assistance.
express-python matplotlib-python nltk nltk-python numpy openai-api pandas plotly plotly-dash plotly-express pypdf2 python streamlit wordcloud
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https://github.com/faisal-khann/diwali-sales-analysis
The "Diwali Sales Analysis" project aims to analyze the sales data during the Diwali festival period to uncover insights and trends that can help improve marketing strategies and sales performance in the future
csv data-analysis eda jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/rooneyrulz/movie-recommender-system
Movie recommendation system using Machine learning
cosine-similarity jupyer-notebook machine-learning movie-recomendation-system numpy pandas python3 recomender-system vectorization
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https://github.com/raju-2003/indiaai-cyberguard-ai-hackathon
An NLP-powered system to simplify cybercrime reporting by analyzing descriptions, categorizing incidents, and providing actionable insights.
matplotlib nltk numpy pandas python random-forest-classifier re scikit-learn seaborn shap spacy wordcloud
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https://github.com/narenkhatwani/arkouda-projects
This repository contains the source codes of the projects done using Arkouda (a software package that allows a user to interactively issue massive parallel computations on distributed data using functions and syntax that mimic NumPy, the underlying computational library used in most Python data science workflows.)
arkouda data-analysis data-analytics data-science high-performance high-performance-computing highperformancecomputing numpy pandas parallel-computing parallel-processing parallelization python
Last synced: 17 Apr 2026
https://github.com/andrehaguiar/pos-graduacao-inteligecia_artificial-ciencia_de_dados
Cronograma do curso
ciencia-de-dados dados matplotlib-pyplot numpy orange pandas python scipy sklearn
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https://github.com/codeasarjun/_easy_machine_learning
This repo contains a comprehensive tutorial on machine learning with practical implementations and examples using Python.
artificial-intelligence clustering deep-learning jupyter-notebook machine-learning machine-learning-algorithms modelevaluation neural-network numpy pandas preprocessing python python3 regression scipy supervised-learning supervised-machine-learning unsupervised-learning unsupervised-machine-learning
Last synced: 13 Apr 2026
https://github.com/ishutak/disease_prediction
An AI-powered disease prediction system that uses machine learning to predict diseases based on symptoms. The system employs an ensemble of models including Random Forest and Neural Networks to provide accurate predictions with confidence levels.
css3 htlm5 javascript jquery numpy pandas pytorch scikit-learn select2
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https://github.com/m-rishab/housing-price-prediction
The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.
gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn
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https://github.com/vijaykumar1303/facial-emotion-recognition-system
Facial_Emotion_Recognition_System
cnn-classification git hyperparameter-tuning jupiter-notebook keras-tensorflow machine-learning numpy opencv pandas python sckiit-learn slack sql tenserflow-image-classifier
Last synced: 11 Apr 2026
https://github.com/elazzouzihassan/si-fraud-detection-prototype
Système de Détection des Fraudes avec Python (Prototype).
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https://github.com/rkarahul/machinelearning
This is for my all machine learning code
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https://github.com/prithivsakthiur/qwen-image-edit-2509-loras-fast
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https://github.com/socrats/tscluster
Clustering time-series
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https://github.com/mrtaz77/numerical-analysis
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https://github.com/yessasvini23/deepfake_immunization_toolkit
🛡️ AI-powered toolkit to detect deepfakes, educate users, and verify content authenticity using federated learning and blockchain. Built for election security, media integrity, and digital literacy.
blockchain matplotlib numpy opencv python pytorch scikit-learn
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https://github.com/harmanveer2546/credit-card-fraud-detection
The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.
ann catboost eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xgboost
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https://github.com/justsecret123/one-piece-characters-detector
An object detector trained with a Kaggle GPU, using Tensorflow and a fine-tuned ssd resnet50.
artificial-intelligence computer-vision convolutional-neural-networks deep-learning deep-neural-networks docker fine-tuning jupyter kaggle kaggle-dataset matplotlib numpy object-detection python single-shot-detector tensorflow tensorflow-object-detection tensorflow-serving transfer-learning
Last synced: 11 Apr 2026
https://github.com/gaurangdave/house_price_predictions
Machine Learning Application to predict House Prices
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Last synced: 11 Apr 2026
https://github.com/hamdaniqhmqd/project-predict-saham-bbri
Repository Project-Predict-Saham-BBRI is a group assignment project that uses Streamlit, scikit-learn, and related technologies to build a BBRI stock price prediction application based on day, week, and month input.
data-visualization numpy pandas python sklearn streamlit
Last synced: 11 Apr 2026
https://github.com/babak2/synthea-data-analysis
Synthea Data Analysis
data-analysis data-visualization jupyter-notebook jupytext matplotlib numpy pandas python3 seaborn synthea
Last synced: 11 Apr 2026
https://github.com/amirhnajafiz-university/s7dc01
Final project of Data Communications course
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Last synced: 11 Apr 2026
https://github.com/neerajcodes888/diwali-sales-analysis
An open-source repository for sales data analysis. Dive into insightful trends, metrics, and visualizations to empower data-driven decision-making. Ideal for data analysts, business professionals, and enthusiasts seeking comprehensive sales insights. Clone, customize, and contribute to enhance your sales analytics journey.
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Dimension reduction in Python
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https://github.com/listiangr/play_tennis_classification
This project analyzes weather data to predict whether a person will play tennis or not. The main goal is to make accurate predictions based on factors such as weather, temperature, humidity, and wind.
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https://github.com/harmanveer2546/movie-industry
Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.
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https://github.com/apoorva-info/eye-blink-detetction
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https://github.com/walkerdustin/vergleich-von-messmethoden-fuer-punktwolken
Bei der Vermessung eines physischen Raumes ist das Ergebnis eine Punktwolke. Diese Punktwolke beschreibt dann ausgewählte Punkte im Raum, zum Beispiel auf den Wänden und der Decke. Wenn diese Punkte in zwei seperaten Messungen gemessen werden, vielleicht sogar von unterschiedlichen Geräten, soll hinterher herausgefunden werden wie genau diese Punktwolken übereinstimmen. Dafür gibt es zwei grundsätzlich verschiedene Methoden. Diese sollen hier verglichen werden.
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https://github.com/beliavsky/array-compiler
Translate Python/NumPy and other array languages to Fortran
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https://github.com/rusiruchapana/blood-group-prediction
Creating a machine learning project to predict blood groups from fingerprint patterns
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https://github.com/jayakrishnagaddam/deep_sheild_
This is a Machine Learning applied Artificial intelligence project. Deepsheild is a cutting-edge deepfake detection system designed to safeguard the integrity of visual content in an era where synthetic media poses unprecedented challenges. Deepsheild stands as a robust fortress against the proliferation of manipulated videos and images.
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High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust
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This project approach defines the terms machine learning and linear regression ML algorithm in the context of real-time problem-solving.
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Real-time Object Detection and Neural Network Training Visualization
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Last synced: 11 Apr 2026
https://github.com/serhatderya/fall_detection
This project implements a computer vision-based fall detection system using deep learning techniques. The system can detect whether a person has fallen in images or video frames.
ai artificial-intelligence artificial-neural-networks computer-vision deep-learning deep-neural-networks deeplearning falldetection matplo neural-network numpy opencv pil pillow pytorch tensorflow yolo yolov5 yolov8
Last synced: 11 Apr 2026
https://github.com/mchenryspagg/prosper-loan-project
A data analysis project that entails using the data from a fictional loan company known as Prosper to perform exploratory data analysis using univariate, bivariate and multivariate visualizations to produce insights that answers questions asked from the data
datastorytelling exploratory-data-analysis exploratory-data-visualizations jupyter-notebook matplotlib-pyplot numpy pandas python seaborn-plots
Last synced: 13 Apr 2026
https://github.com/pradipece/two_dimensional_data_visualization
This repository for different kinds of Data science and Machine learning project
data-science data-visualization jupyter-notebook machine-learning matplotlib numpy pandas python seaborn sklearn statistics
Last synced: 11 Apr 2026