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/zensam7/easy_my_ai
Библиотека для создания ИИ, написана ПОЛНОСТЬЮ с нуля
genetic-algorithm library machine-learning neural-networks numpy q-learning
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https://github.com/enjirouz/intelligentsystems
Expert systems examples: production type expert systems with direct and reverse logical conclusion; numpy perceptron; numpy neural network trained on logic AND operation; convolutional neural network for image recognition using cifar10 dataset and keras
cifar10 classification cnn convolutional-neural-network expert-systems image-classification image-recognition keras-tensorflow numpy
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https://github.com/sahajrajmalla/co2-calculator-api
A Web Application backend API that enables people to create events, join events, and measure the carbon footprint produced by each participant to get insights about online and onsite carbon emissions.
apis carbon-emissions carbon-footprint fastapi makefile numpy pandas precommit sqlalchemy sqlite3 uvicorn
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https://github.com/m-faizan-mahmood/detailed-exploratory-data-analysis-eda-marketing-recomendations.
This project focuses on cleaning, preprocessing, and analyzing data using Pandas and NumPy. Key steps include handling missing values, removing outliers, feature engineering, and exploratory data analysis (EDA). Visualizations with Matplotlib and Seaborn highlight trends in customer spending, campaign performance, and product sales.
big-data data-analysis data-processing data-science eda exploratory-data-analysis numpy pandas python
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https://github.com/mohd-mb2205153/data-science-project
A data analysis project using Python to study climate patterns and genocide-related datasets from Gaza and the West Bank.
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https://github.com/lolosoares/dataanalises
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acces data-science dax excel mysql numpy pandas powerbi powerquery python r seaborn sql vba
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https://github.com/erenokur/machine-learning-playground
Experiment with machine learning and AI algorithms, write guides, and documents.
hidden-markov-model machine-learning numpy python pytorch sckit-learn tensorflow
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https://github.com/vijayjoshi16/credit-card-fraud-detection-using-ml-in-python
Credit Card Fraud Detection Using ML in Python
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This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance
catboost lightgbm matplotlib numpy pandas scikit-learn seaborn xgboost
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https://github.com/jinkogule/multi-analyst
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https://github.com/mohamed3nan/udacity
Udacity Data Analysis Nanodegree Program
data-analysis data-visualization numpy pandas python
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https://github.com/hayatiyrtgl/data_analysis_project
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data-analysis data-analysis-python data-science dataframe numpy pandas python python3 stock-price-prediction talib trade-analysis
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https://github.com/gauravtrivedi967/mask_detection
In the present scenario due to Covid-19, there is no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. Also, the absence of large datasets of ‘with_mask’ images has made this task more cumbersome and challenging.
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https://github.com/thedevreda/python
My Full Backup Packagaes & Files Guide for Python 👷♂️
jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/rkarahul/vehicle-number-plate-detection-and-ocr-reading-using-opencv-and-paddleocr
complated Vehicle Number Plate Detection and OCR Reading Using OpenCV and PaddleOCR
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https://github.com/octcarp-courses/sustech_cs303-ai_f23_works
(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.
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https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression
This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.
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https://github.com/nguyenanhtuan1912/computer_vision_exercises
Trong này sẽ chứa các file source về bài tập Computer Vision.
computer-vision numpy opencv python
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https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization
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https://github.com/htlinh0604/invoice-data-extraction
This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..
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https://github.com/sreejabethu/cost-of-living-index-globally
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https://github.com/tejasvi541/machine-learning
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https://github.com/jswong65/machine_learning_nanodegree
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https://github.com/sspathak/eye-mouse
Control your PC's mouse by just looking at the screen!
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https://github.com/hansalemaos/cythonunique
Fast implementation of unique elements in an array - up to 30x faster than NumPy
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https://github.com/aarmn/maryam
🧮 Maryam is a light, hackable and accurate python mathematical module written for simple usage with no dependencies (up to now). In memory of Iranian mathematician Maryam Mirzakhani, The first woman and Iranian who's honored by Fields medal
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https://github.com/upul/indi
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https://github.com/madhurimarawat/python-for-datascience
This repository contains programs in the python programming language.
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https://github.com/corentin-mzr/pmi
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https://github.com/34j/numpy-flint-arb
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https://github.com/datarohit/fifa-2020--data-analysis
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analysis data matplotlib numpy python
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https://github.com/prashver/customer-segmentation
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https://github.com/athari22/house_sales_in_king_count_usa
The idea of the project is to do a Data analysis in a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate.
analysis data data-science data-visualization ibm ibm-watson linearregression machine-learning matplotlib numpy pandas sklearn-library
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https://github.com/back2matching/turboquant-vectors
Compress embeddings 6x instantly with TurboQuant. First pip package using Google's TurboQuant (ICLR 2026) for vector search. 71.9% recall vs FAISS PQ 13.3%.
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https://github.com/rakibhhridoy/machinelearning-featureselection
Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.
extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest
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https://github.com/pratishtha-abrol/principlecomponentanalysis
Principle Component Analysis with Numpy and Python
numpy principal-component-analysis python
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https://github.com/linggarm/smart-caloriemax
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https://github.com/kishlayjeet/zomato-data-exploration
In this project, we will be exploring a dataset containing information on various restaurants and their ratings, location, and other attributes.
data-analysis eda matplotlib numpy pandas zomato-data-exploration
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https://github.com/apchavan/ulmfit_twitter
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https://github.com/chirindaopensource/crypto_currencies_interest_rates
End-to-end Python Implementation of Bergault et al.'s (2025) methodology for constructing yield curves without traditional bonds. Implements inverse options replication, robust statistical methods, and closed-form analytical solutions for risk-neutral interest rate discovery in digital asset markets.
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https://github.com/datarohit/garbage-image-classification
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https://github.com/datarohit/titanic-survival-data--classification
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https://github.com/pranav-bot/ml-dl-models-from-scratch
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https://github.com/flazefy2/ds-global_cybersecurity_threats
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data-science data-visualization numpy python squarify statistics
Last synced: 05 May 2026
https://github.com/vineet416/airbnb_data_analysis
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Last synced: 10 Apr 2026
https://github.com/tritonix711/digitvision-number-predictor
"DigitVision: Number Predictor" is a deep learning project that uses a Convolutional Neural Network (CNN) to classify handwritten digits (0-9) from images. Built with Python and TensorFlow, it supports dataset preprocessing, model training, evaluation, and predictions, offering a scalable and accurate solution for digit recognition tasks.
cnn keras matplotlib numpy os pillow plt python tensorflow tkinter
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https://github.com/aryansk/geometric-transformation-visualizer
A comprehensive toolkit for visualizing various geometric transformations on both 2D shapes and images using Python. This project demonstrates fundamental geometric operations through interactive visualizations.
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https://github.com/dan-shields/rocketleagueirl
Rocket League comes to Real Life!
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https://github.com/mardavsj/weather-prediction
Weather prediction model which mainly focuses on visualization.
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https://github.com/argemenon/astronomy_and_simulations
I created this repo to learn astronomy and python simulations
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https://github.com/stephenhky/npdict
Python Package for Dictionary Wrappers for Numpy Arrays
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https://github.com/aminakbari7/simple-data-science-with-excel
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https://github.com/sebsikora/curve_fitting
A short guide to using Python tools to perform arbitrary curve-fitting of research data via constrained minimisation.
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https://github.com/kirkalyn13/opensignal_autogenerate_report
Script used to generate results/summary, including the trends of flagged provinces, from the raw excel data file,
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https://github.com/hanneskimara/ai-notebooks
Notebooks
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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.
3d-models accuracy-metrics data-analysis data-visualization kaggle measure-distance numpy point-cloud pointcloudprocessing punkte python science-research simulation statistics
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https://github.com/soumya-kushwaha/data-science-and-ml
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https://github.com/rudrakshi99/movie-recommendation-system
Movie recommendation system using machine learning and predict user ratings for the movies.
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Last synced: 07 May 2026
