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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/sizzlins/kalkulator-ai
A Simple Command Line Input Symbolic Regression Engine and Computer Algebra System (CAS) capable of discovering the laws of the universe, solving calculus, algebra, and trigonometrics.
calculator calculus cli computer-algebra-system curve-fitting machine-learning mathematics numpy physics python scientific-computing scikit-learn sparse-regression symbolic-regression sympy
Last synced: 13 Jan 2026
https://github.com/tynab/inferential-statistics
CyberSoft Machine Learning 03 - Inferential Statistics
anaconda anaconda-navigator cybersoft cybersoft-academy inferential-statistics ipynb jupyter-notebook machine-learning machine-learning-03 matplotlib ml ml-03 numpy pandas py python scikit-learn scipy seaborn sklearn
Last synced: 06 Mar 2026
https://github.com/m-rishab/credbet
A loan prediction web app which tells You that you are eligible for loan or not!
decision-tree-classifier matplotlib numpy pandas python scikit-learn
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https://github.com/awrsha/principal-component-analysis
Dimension reduction in Python
image-processing matplotlib numpy pillow python
Last synced: 02 Sep 2025
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
Last synced: 11 Apr 2026
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/aahnik/gdsc-ml-ds-bootcamp-2023
This repo contains files given by my seniors as well as assignments and final project done by me during the bootcamp.
data-science machine-learning ml numpy pandas python3 scikit-learn
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https://github.com/hamdaniqhmqd/kelompok6-sistem-cerdas-bbri
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data-visualization numpy pandas python sklearn streamlit
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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.
classification flask html-css jupyter-notebook kaggle-dataset naive-bayes numpy pandas pickle play-tennis python sklearn
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https://github.com/dudynets/numerical-methods-labs
Labs for Numerical Methods course at Ivan Franko Lviv National University.
angular docker fastapi interpolation labs linear-algebra material-ui matplotlib ngxs numpy python typescript university
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https://github.com/hansalemaos/cythonfastsort
C++ parallel sorting algorithms through Cython - up to 8 times faster than NumPy
c cpp cython numpy parallel-computing parallel-programming python sorting
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https://github.com/tasninanika/callifornia-housing-price-prediction-svr
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matplotlib numpy pandas python3 scikit-learn seaborn svm-regression
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https://github.com/mnitin-reddy/reducing-review-overhead-with-ml-based-application-screening
A machine learning classification project to filter out low-probability visa applications using historical data. It features an end-to-end implementation with CI/CD on AWS, achieving 93% accuracy with a KNN model optimized through Optuna, alongside integration of MLOps tools like Evidently and MLflow.
aws docker githubactions hypothesistesting machinelearning matplotlib mlflow mlops mongodb numpy optuna pandas python scikit-learn seaborn
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https://github.com/Tritonix711/FractureAI
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A modular, and scalable quantitative trading engine built in Python. This project demonstrates efficient data caching with SQLite, concurrent backtesting, and advanced risk analytics, showcasing best practices in clean code architecture and performance optimization.
algorithmic-trading backtesting dash data-analysis data-visualization fintech lstm machine-learning numpy pandas plotly python quantitative-finance real-time risk-management sqlite technical-analysis tensorflow time-series-analysis trading-strategies
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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.
business business-analytics dataanalysis datetime matplotlib numpy pandas python seaborn
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https://github.com/tom-mohr/clevertable
Consistent, intelligent transformation of text-based tabular data into numerical data.
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https://github.com/matx64/rs-netbot
Old School Runescape bot with CNN for object identification
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https://github.com/cusyio/datenverarbeitung-mit-numpy
Kurs zum Schreiben und Optimieren eigener Programme zur Datenverarbeitung mit Numpy.
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communication dash dashboards data-modeling elt etl folium matplotlib numpy pandas pipelines plotly python scipy seaborn visualization
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https://github.com/beliavsky/array-compiler
Translate Python/NumPy and other array languages to Fortran
array-programming fortran linear-algebra modern-fortran numpy python scientific-computing transpiler
Last synced: 27 May 2026
https://github.com/simran1002/strip-analyzer
The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.
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https://github.com/sultanazhari/credit-scoring
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https://github.com/corentin-mzr/pmi
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https://github.com/rakibhhridoy/exploratorydataanalysis-python
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Simple and fast decoding of event cameras data to NumPy
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https://github.com/hansalemaos/numpycythonpermutations
Permutations, Combinations and Product for Numpy - written in Cython - 20x faster than itertools
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https://github.com/pratishtha-abrol/principlecomponentanalysis
Principle Component Analysis with Numpy and Python
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https://github.com/mohamedawnallah/covid19-dataanalysis-python
how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.
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Python Script to resize image to any dimension.
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An AI-driven stock market analysis dashboard that predicts next-day stock prices using a deep learning LSTM model. The project features: 🔮 AI Predictions for stock movements 🌍 Global market support (US, India, China, Japan, UK) 📊 Interactive React dashboard with charts & recent searches ⚡ Flask backend powered by Tensor/Keras & Yahoo Finance
dashboard flask flask-cors keras-tensorflow lstm-neural-networks machine-learning numpy react-typescript scikit-learn stock-price-prediction
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https://github.com/seungjaelim/scratchml
Implement neural network only using numpy
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ParkEase Pro is an AI-powered smart parking system built with Python, OpenCV, MySQL, and ANPR technology. It automatically calculates parking fees, tracks entry-exit times, and detects empty spots using AI for real-time monitoring.
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This project is a real-time face detection application using OpenCV's deep learning-based face detector. It captures faces from a webcam feed, detects faces with high accuracy using a pre-trained Caffe model, and saves the detected faces as image files labeled with the user's name.
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https://github.com/haukzero/decisiontree-strat-from-scratch
依据西瓜书从零开始手写决策树分类器,只使用 pandas, numpy, graphviz 三个扩展包,其中 graphviz 用于将生成的树可视化
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https://github.com/vidhi1290/ai-ml-cartoonifier
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https://github.com/guifernandess7/megasena-estatisticas-e-analises
Análises e Estatísticas dos jogos da megasena com base em todos os jogos que já ocorreram.
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https://github.com/prasadlokhande-880/imagetransformationtool
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https://github.com/ki-seki/set_determ
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deterministic numpy pytorch random-generation reproducibility
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https://github.com/akashash01/logistic-regresion
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auc-roc-curve classification confusion-matrix data-science kolmogorov-smirnov machine-learning nonlinear-regression numpy pandas python supervised-learning vif woe-and-iv
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https://github.com/aryansk/movie-recommendation-system
A sophisticated movie recommendation system that suggests films based on user ratings and collaborative filtering techniques. Get personalized movie suggestions based on viewing patterns and user preferences! 🎯
machine-learning machine-learning-algorithms matplotlib numpy pandas python recommender-system seaborn
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https://github.com/varshneydevansh/machinelearning-101
This repository is about various Algorithm's and Implementations in ML
artificial-intelligence artificial-neural-networks computer-science computer-vision deep-learning machine-intelligence machine-learning machine-learning-algorithms machinelearning neural-network numpy numpy-tutorial python tensorflow tensorflow-tutorials tutorial tutorial-exercises
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https://github.com/ayaanjawaid/diwali-sales-analysis
The code file contains the Analysis of Diwali sales. Performed Exploratory Data Analysis (EDA) on Measure Values.
jupyter-notebook matplotlib numpy pandas python seaborn
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Data analysis practice
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https://github.com/akshaypatra/expression_detector
The Expression Detector is an AI-based system that identifies and classifies human facial expressions in real-time . It utilizes computer vision and deep learning techniques to analyze facial features and determine the emotional state of a person, such as happiness, sadness, anger, surprise, fear, disgust, or neutrality.
keras-tensorflow neural-network numpy opencv-python python3
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https://github.com/abhishek010397/machinelearning-modeltraining
Machine Learning Model Training for Car Detection
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https://github.com/kelvinjuliusarmandoh/loan-approval-prediction
Implementing Machine Learning for predicting loan approval
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Last synced: 01 May 2026
https://github.com/tanu272004/-income-mortgage-housing-insights-a-state-city-analysis-
To analyze state & city housing trends and affordability using data analytics.”
bigquery business-intelligence data-analysis data-visualization dax googlecloud kpi numpy powerbi predective-modeling python sql
Last synced: 09 May 2026
https://github.com/saptak625/doublependulum
This repository is my derivation of the equations of motion of a double pendulum using Lagrangian Mechanics and then solving the nonlinear, coupled equations using a Runge-Kutta 45 integration scheme.
differential-equations lagrangian-mechanics matplotlib numerical-integration numpy python scipy vpython
Last synced: 03 May 2026
https://github.com/kevinlacaille/hs1549-hs1700-s2-protoclusters
Code used to galaxy protocluster analysis for Lacaille, K. et al., 2019, MNRAS
aplpy astronomy astrophysics astropy galaxy-clusters maps number-counts numpy python stacking star-formation statistical-analysis
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https://github.com/pinedah/escom_programming-for-data-science
This repository contains personal notes, exercises, and programs from the Programming for Data Science course at Instituto Politécnico Nacional (IPN). The course focuses on using Python programming for data handling, statistical analysis, and machine learning techniques.
data-science escom matplotlib numpy pandas python python-algorithms python-library
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https://github.com/idow09/ud810-problem-sets
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computer-vision numpy opencv opencv-python problem-sets python solutions udacity
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https://github.com/martincastroalvarez/python-recommender-systems
Recommender systems with numpy.
clustering condorcet-voting numpy recommender-system
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https://github.com/mrhashemi/optimizers
Python implemntation of Conjugate Gradient method and Adam, and Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimizers from scratch.
adam-optimizer bfgs conjugate-gradient numpy optimizer scipy
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https://github.com/heisenberg141/probability-based-boundary-detection
This Repository consists of implementation of probability based boundary detection algorithm which gives more accurate results than canny edge detection.
boundary-detection canny-edge-detection computer-vision edge-detection gabor-filters gaussian-filters image-gradients image-processing kmeans-clustering lm-filters numpy opencv python3 sobel-filter texton-maps
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https://github.com/rubinlake/rl-academy-data-analytics
Educational data analysis project demonstrating BMW sales data analysis with AI-powered code assistance using Cursor IDE and Jupyter notebooks
cursor-ide data-analysis educational-project jupyter langchain matplotlib numpy pandas python scipy seaborn
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https://github.com/dwarkadhish2005/weather-predictor
Built a model based on collected data which takes various parameters and predicts the weather
classifier matplotlib numpy pandas sklearn xgboost
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https://github.com/yunfanjiang/ml_interview_with_numpy
Implementation of ML algorithms using NumPy from scratch
from-scratch interview machine-learning machine-learning-algorithms numpy
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https://github.com/dina-hosny/explore-us-bike-share-data-project
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data-analysis data-science numpy pandas python
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https://github.com/datarohit/tps-january-2022--kaggle-competition
Tabular Playground Series - Jan 2022. This Competition is Posted on Kaggle.com for practicing the EDA and Regression Skills.
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https://github.com/hemilkaklotar/num-plot
Python Libraries Tutorials for Numpy and Matplotlib
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https://github.com/tar3q-az1z/python-learning
Contains python codes.
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https://github.com/iliatrofimov/linearsystems_solvers
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https://github.com/realamirhe/leaf-node
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algorithm auto-encoder classification cybernetics feature-extraction feedback-mechanism lda learning machine-learning machine-learning-journey numpy pca practice regression scikit-learn sklearn smlfdl
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https://github.com/abdulfatir/subkmeans
Numpy and pyCUDA implementation of subKmeans
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ai caffemodel computer-vision deep-learning nlp numpy ocr opencv pillow python3 tkinter
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https://github.com/katerynazakharova/olive-separation
CV
cv2 image-classification numpy opencv python3
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https://github.com/molodchina/msu-ml-prac
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clustering decision-trees encodings ensemble gradient-boosting knn machine-learning matplotlib numpy pandas plotly seaborn svm
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https://github.com/cchandre/kh
Kramers-Henneberger reductions of Hamiltonian dynamics
amo attosecond-physics averaging hamiltonian kramers-henneberger matlab numpy schrodinger-equation strong-field-ionization tdse
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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.
math numpy pygame random sys time
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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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Last synced: 20 Apr 2026
https://github.com/k-ibadullaev/py-ssa-lib
Py-SSA-Lib: Python implementation of the multichannel singular spectrum analysis (MSSA) and singular spectrum analysis (SSA)
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https://github.com/h3ar7b3a7/exploringjupyterlab
This is just an exploration in using Jupyter Lab, Notebook and some useful Python libraries. Some basic commands, markups and extensions setup are documented here too.
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Last synced: 04 May 2026
https://github.com/datarohit/opencv-document-scanner
This is a Document Scanner built using Python and OpenCV. It also has Image Saving Feature. You can adjust the thresholds to find the contours better.
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Last synced: 10 May 2026
https://github.com/chr5tphr/funcache
Minimally cache python function outputs on disk!
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https://github.com/harmanveer-2546/predicting-customer-churn-for-a-telecom-company
Customer churn is a significant issue for big business companies. Companies are attempting to create methods for predicting customer churn to get a direct impact on getting more revenues, particularly in telecom companies.
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https://github.com/imsalmanmalik/linear-regression-model-airbnb-prices-seattle
Linear Regression Model on Airbnb prices of Seattle using Dash and Python
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https://github.com/himel-sarder/complete-numpy
A comprehensive guide to mastering NumPy with practical examples and applications in machine learning. Perfect for learners and developers looking to deepen their knowledge of numerical computations in Python.
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OpenStreetMap 高低差を考えた最短(?)経路問題ソルバー
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Challenges for DA with Python Certification on FreeCodeCamp
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