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: 2026-07-02 00:21:34 UTC
- JSON Representation
https://github.com/juanpablo70/pgad-exam
Midterm Exam Titanic data set
data-science dataframe dataset jupyter-notebook matplotlib numpy pandas python seaburn
Last synced: 17 Apr 2026
https://github.com/samaid/game-of-life
Conway's Game of Life implemented using array libraries and JIT compilers for CPU and GPU
dpnp numba numba-dpex numpy opencv-python python
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https://github.com/arufonsekun/computer-vision
This repository hosts the code produced in dojos, week tasks, theoretical presentations during my attending time in the UFFS computer vision study group. (refactor in progress)
computer-vision numpy opencv python3
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https://github.com/tejasvi541/machine-learning
My Machine and Deep Learning Practice and Projects Notebooks
matplotlib numpy python3 pytorch sklearn tensorflow
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https://github.com/hedriss10/projetc-cardio
"Analise de dados sobre saúde"
jupyter-notebook matplotlib numpy pandas python
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https://github.com/mrarvind90/fcc-mean-var-std-calculator
A Python program to compute the mean, variance, standard deviation, maximum, minimum, and sum of a given list, both flattened and along specified axes using Numpy.
black freecodecamp freecodecamp-challenge freecodecamp-project numpy python3
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https://github.com/iver56/cython-region-growing
A quick experiment: Region growing (AKA flood fill) algorithm implemented in Cython and Python
benchmark cython flood-fill numpy python region-growing
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https://github.com/iBz-04/DiabetesCL
Predicting instances of diabetic & non-diabetic patients with Support vector machine classifier
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https://github.com/ahmed-hassan-ai/nlp-sentiment-analysis
Sentiment Analysis
dropout keras lstm matplotlib numpy pandas regularization seaborn
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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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Python Script to resize image to any dimension.
cv2 gui image-resizer numpy os python3 random resizeimage tkinter
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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/realamirhe/leaf-node
A leaf node for your machine learning journey, from scratch to practical applications...
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C++ parallel sorting algorithms through Cython - up to 8 times faster than NumPy
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https://github.com/tynab/inferential-statistics
CyberSoft Machine Learning 03 - Inferential Statistics
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https://github.com/willie-conway/data-science-tools-and-ecosystem
🧠 Explore essential Data Science 🧪 tools, 🧰 libraries, and 🐍 Python arithmetic basics — perfect for beginners!
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jupyter-notebook matplotlib numpy pandas python
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https://github.com/sun-data/ndfilters
Numba-accelerated, n-dimensional image filters.
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https://github.com/mithileshk11/steganography-app-aicte-internship-cybersecurity-edunet-foundation
Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.
hashlib numpy opencv3 python streamlit-webapp
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https://github.com/mrbrain295/prime-finder
pip install prime-finder-mammillaria for installation
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https://github.com/mikelane/neuralnetwork
A neural network implemented in python.
machine-learning matplotlib neural-network numpy python python3
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https://github.com/amari-calipso/papers-please-tasbot
A "Papers, Please" TASbot that offers a programmable interface with the game
cython game-bot games image-processing numpy papers-please papersplease python python3 tas tool-assisted-speedrun
Last synced: 13 Feb 2026
https://github.com/ananas1kexe/clap-to-rickroll
A Python-based utility that detects double claps via microphone to automate system actions. It forces volume to 100% via ALSA and triggers a multi-tab browser prank. Uses NumPy for real-time acoustic sharpness analysis.
audio-processing automation claps-detection cybersecurity-prank dsp numpy python rickroll
Last synced: 11 May 2026
https://github.com/RsGoksel/Genetic-Algorithms
A Guide to Problems and Solutions on Genetic Algorithms
agent evolutionary-algorithms game game-solution genetic-algorithm genetic-algorithms gym neural-network numpy numpy-arrays pygame python stable-baselines3
Last synced: 11 May 2026
https://github.com/zazi2002/neuroscience-reinforcement-learning
Neuroscience of Learning, Memory, Cognition project, containing a Jupyter notebook implementing a reinforcement learning approach for a neuroscience-related task.
deep-learning matplotlib numpy pytorch reinforcement-learning
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https://github.com/l-johnston/microohm
SI unit system in Numpy as native dtype
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A list of data science projects completed by me for academic, self learning, and creative purposes
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Character-LSTM implementation in Numpy
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Principal Component Analysis (PCA) implementation and analysis lab for Machine Learning. Features manual PCA implementation, scikit-learn applications, data compression, and feature extraction with detailed visualizations.
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https://github.com/alicankaya192/deep_learning_path
Sıfırdan ileri seviyeye Deep Learning yol haritası. 11 modül: PDF + Python + Jupyter Notebook. NumPy · TensorFlow · PyTorch karşılaştırmalı implementasyonlar.
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Football Detection in Python 10 line of Code
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Basic Python programs and Try outs..
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Generate LoRA Adapters from documents
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Data Analysis about traffic accidents at Bogotá, Colombia.
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https://github.com/macagua/entrenamiento.data_scientist_python
Repositorio de manuales y recursos del entrenamiento "Data Scientist en Python" realizado por Leonardo J. Caballero G.
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https://github.com/rafinhadufluxo/calculonumerico
Trabalhos de Cálculo Numérico UFFS 📐📊
calculate-numbers exercices matematica mathematical-modelling matplotlib-figures numpy python3 student
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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/datarohit/end-to-end-machine-learning-projects
This repo contains multiple simple and complex End to End DataScience Projects crated using Python and Streamlit and hosted on Heroku and Streamlit.
heroku heroku-deployment machine-learning matplotlib numpy pandas python seaborn sklearn streamlit streamlit-webapp
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https://github.com/cchandre/gc2d
Guiding-center dynamics in plasma physics
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Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.
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https://github.com/juwono136/indonesia-negative-comment-lstm
Sentiment Analysis of Indonesian Negative Comments on Social Media Using Long Short-Term Memory (LSTM)
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https://github.com/harmim/vut-sui-homework
Umělá inteligence a strojové učení - Domácí úloha
artificial-intelligence classification gaussian-distribution logistic-regression machine-learning matplotlib numpy nuralnetwork python scipy sui torch vut vut-fit
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https://github.com/satyanaryana-merla/financial-analysis-in-loan-analytics
sample datasets containing information about several loans, including details such as loan amount, interest rate, term duration, and other key characteristics. For this project, we need you to calculate a cash flow amortization schedule for each loan,
amortization amortization-schedule bank numpy pandas python
Last synced: 17 Apr 2026
https://github.com/vineet416/eda-travel
EDA Travel data by PW Skills Data Analytics Course.
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https://github.com/gallo13/neuralnetworks-deeplearning-stats-classification
Descriptive Statistics, Classification and Analysis Using Python & Python Libraries (Assignment 1)
analysis data datasets deep-learning jupyter-notebook matplotlib neural-networks numpy pandas plotting python seaborn
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https://github.com/meghajbhat/photo-editor
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gui numpy opencv opencv-python python python3 tkinter tkinter-gui tkinter-python
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https://github.com/khaymanii/titanic_survival_prediction_-model
This Model was built using Python and Logistic Regression algorithm
matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/rajharit77/weather-project
Repository for exam on the openweathermap api's project
apache-airflow dataframe jupyter-notebook looker-studio matplotlib numpy openweathermap-api pandas python
Last synced: 02 May 2026
https://github.com/varshan1123/football-analysis
Designed a soccer analytics system using YOLOv11 for player and ball tracking, with team classification and real-world movement analysis, enabling precise speed and distance assessments. Integrated automated reporting to enhance data-driven decisions for coaches and analysts.
gemini-api kmeans-clustering numpy opencv ultralytics yolov11
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https://github.com/oguzhansarigol/expected-goals-xg-data-analysis
We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.
data-analysis-python expected-goals numpy pandas-python python
Last synced: 02 May 2026
https://github.com/thaikoz/data-science
This repository contains various data science projects and exercises implemented in Python using Jupyter Notebooks. It is intended for educational purposes and to document my learning journey in data science.
Last synced: 17 Apr 2026
https://github.com/cchandre/quasiperiodic_frenkel-kontorova
Analyticity breakdown for Frenkel-Kontorova Models in quasiperiodic media
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Last synced: 02 May 2026
https://github.com/iv4n-ga6l/realtime-car-traffic-tracking
Realtime car traffic tracking using yolov8 model
cartracking numpy opencv python ultralytics yolov8 yolov8n
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https://github.com/adalbertobrant/macd
Estudando sobre o uso do streamlit com geração de gráficos e dados da B3
bovespa box-plot golden-cross macd numpy python single-moving-average steamlit stocks
Last synced: 07 Feb 2026
https://github.com/madhuresh2011/telco-customer-churn-analysis-using-python
The analysis primarily investigates factors influencing customer churn, particularly focusing on payment methods and contract types.
csv data-analysis matplotlib numpy pandas pyhton seaborn vizualisation
Last synced: 02 May 2026
https://github.com/italoseara/cet083
Medidas de Posição (ou separatrizes) - CET083
data-science matplotlib numpy pandas portuguese python statistics university
Last synced: 03 May 2026
https://github.com/hanzopgp/neuralnetworkfromscratch
This is a multi-layer perceptron build from scratch using numpy and python.
artificial-intelligence deep-learning machine-learning multi-layer-perceptron numpy personal
Last synced: 17 Apr 2026
https://github.com/guiferviz/happyml
Machine Learning Python library for academic purposes.
deep-learning deep-neural-networks learning machine-learning machine-learning-algorithms neural-network neural-networks numpy
Last synced: 03 May 2026
https://github.com/mirseo/pandas_learning
pandas_learning
data-analysis data-analysis-python data-science data-visualization numpy numpy-example pandas pd python python-3 python3
Last synced: 03 May 2026
https://github.com/harshitwaldia/stock-price-prediction
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
Last synced: 03 May 2026
https://github.com/realtristan/micronet
Neural network library from scratch
neural-networks numpy python pytorch
Last synced: 03 May 2026
https://github.com/harizonelopez/face-detector
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.
Last synced: 03 May 2026
https://github.com/smallgig/pickomino
Reinforcement Learning Environment with Gymnasium API
api ci coverage-testing gymnasium mypy numpy pip pre-commit pycharm pygame pylint pyright pytest pytest-cov python reinforcement-learning-environments ruff toml xenon
Last synced: 19 Jan 2026
https://github.com/marksikaundi/30daysofdeeplearning
This challenge is designed to help you build a strong foundation in Python programming and deep learning over the course of 30 days. By the end of this challenge, you will have developed a comprehensive understanding of deep learning concepts.
data-science nlp numpy python pytorch tensorflow
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https://github.com/psp515/Studies-DifferentalEquations
Differental Equations course on AGH UST 22/23.
numerical-methods numpy python
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This project implements an anomaly detection algorithm to identify failing servers in a network. The model is trained on a dataset with throughput and latency features, estimating parameters for anomaly detection. The approach is extended to a high-dimensional dataset, showcasing its effectiveness in detecting outliers and anomalies
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https://github.com/nemeslaszlo/loan-data-decision-tree-and-random-forest
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decesion-trees matplotlib numpy pandas random-forest seaborn sklearn
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https://github.com/elissorokin/data-analyst-portfolio-rus
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ab-testing data data-analysis datalense matplotlib numpy pandas plotly portfolio postgresql python scipy seaborn sql statistical-analysis
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https://github.com/kwanit1142/machine-learning-models-on-different-scenarios
Pattern Recognition and Machine Learning based Assignments and Labs, under Prof. Richa Singh in Course CSL2050.
deep-learning diabetes iris machine-learning matplotlib mlxtend mnist nltk numpy pandas pytorch regex seaborn sklearn
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This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
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https://github.com/byigitt/smartmove
fake data generation and analysis for ankara metro station
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🐍 Ako sa stať Dátovým ANALYTIKom v Pythone - Materiály, zdroje, skripty k večernému online školeniu Ako sa stať Dátovým Analytikom v Pythone pre Robime.it (Mentor Partners)
analysts analytics data-science math matplotlib numpy pandas python reiter scipy vizualisation
Last synced: 04 Apr 2026
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.
Last synced: 18 Apr 2026
https://github.com/vidursatija/tensorpy
A simple NumPy autodiff library
autograd machine-learning numpy python
Last synced: 03 May 2026
https://github.com/itzzmeakhi/investigate-tmdb-dataset
Tmdb dataset is taken to perform analysis. Messy data is cleaned by performing many steps like dropping null values and rising values and analyzing correlation among them using visualization techniques using matplotlib and seaboarn to derive the answers that i imposed during the early stages of analysis.
csv matplotlib numpy pandas python3 seaborn
Last synced: 03 May 2026
https://github.com/akash-rajak/large-image-preview
Python Script to view large image using scroll bars.
cv2 large-image large-image-preview numpy python3 tkinter
Last synced: 04 May 2026
https://github.com/antoniojcosta/calculus-exercises
Numerical Calculus exercises solved using python.
calculus calculus-course fraction jupyter-notebook mathematics matplotlib numpy phisics python sympy
Last synced: 03 May 2026
https://github.com/simipk12/eda-healthcare-project
Healthcare Insurance Cost Analysis This project analyzes the Healthcare Insurance dataset to explore factors that influence medical charges. The goal is to identify key drivers of insurance costs, detect outliers, and provide actionable insights for individuals, insurance companies, and policymakers.
eda matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/kaushikrohida/leetcode-premium
mysql numpy pandas pandas-dataframe postgresql python3
Last synced: 05 Apr 2026
https://github.com/musfiquejim/enacp-a-hybrid-machine-learning-framework-for-detecting-anticancer-peptides
EnACP: একটি Ensemble Learning মডেল যা অ্যান্টিক্যান্সার পেপটাইড সনাক্তকরণের জন্য ব্যবহৃত হয়।
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https://github.com/apchavan/ulmfit_twitter
ULMFiT model for Twitter US Airlines Sentiment
keras-tensorflow numpy pandas-dataframe python3 sentiment sentiment-analysis sklearn twitter-sentiment-analysis ulmfit
Last synced: 04 May 2026
https://github.com/prabath1998/rice_leaf_disease_ditection_system
This project is a Paddy Crop Disease Detection System that uses machine learning to identify diseases in paddy (rice) leaves. Farmers can upload an image of a paddy leaf, and the system will predict whether the leaf is healthy or affected by a specific disease
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https://github.com/cyberoctane29/unicorn-companies-analysis
This project explores unicorn companies, private startups valued at over $1 billion, using Python for data analysis. It covers industry trends, geographic distribution, and investment patterns through EDA, including data cleaning, handling missing values, datetime transformations, and visualizations to uncover key insights.
data-analysis eda numpy pandas python
Last synced: 02 May 2026
https://github.com/pr38/cox_ph_estimation_notebooks
Personal discovery work on estimating Cox Proportional hazards coefficients for for both breslow and efron ties, using both autograd and directly calculating the gradient and hessian
cox-regression dask data-science machine-learning numpy pytensor statistics survival-analysis
Last synced: 15 Apr 2026
https://github.com/dipto1971/statistical-analysis-data-science
Statistical Analysis in Data Science
Last synced: 15 Apr 2026
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.
academic-research arbitrage-pricing cryptocurrency data-science defi derivatives econometrics financial-engineering interest-rates jupyter-notebook mathematical-finance numpy options-pricing pandas python quantitative-finance ransac risk-management robust-statistics yield-curve
Last synced: 04 May 2026