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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/vidyasagarmsc/pydataflownote
As I explore Python libraries....
jupyter-notebook numpy python pytorch scikit-learn scipy tensorflow
Last synced: 27 Sep 2025
https://github.com/dhakalnirajan/python-for-research
“Python for Academic Research” is a program launched by NRCC to provide short training in the python programming language. This course will teach students to use python in research and implement such learnings in their practical classes. Mr. Kshitiz Regmi will be teaching the course.
data-science numpy pandas plotly python python3
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https://github.com/lioccoumd/news-sentiment-analysis
This scrapes a variety of news stations websites for article titles and evaluates them using distilBERT pretrained model for sentiment analysis.
beautiful datasets distilbert news nltk numpy python pytorch reques scraping-websites sentiment-analysis transformers
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https://github.com/shibam120302/plant_deseases_prediction
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Person's body parts or joint position detection using openCV
detection numpy opencv prediction prediction-model python
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https://github.com/athul64/exploratory-data-analysis
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colab-notebook data-analysis data-visualization matplotlib numpy pandas python seaborn statistical-analysis
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Movie recommendation system using machine learning and predict user ratings for the movies.
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Cartesian Product for NumPy - 40x faster than NumPy + itertools.product
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https://github.com/gourab-sinha/machine_learning
This repository consists of Machine Learning Concepts and Projects.
classification machine-learning neural-network numpy pandas sklearn-library
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Using Logistic Regression Classifier to Predict Target Using Three Features
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Code for a Tutorial on Writing C++ Extensions for Python.
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https://github.com/xaxtric7/learn-numpy
🧮 Welcome to my NumPy Practice repository! This repo contains my hands-on learning, notes, and code experiments as I dive into the fundamentals and advanced features of NumPy – a powerful library for numerical computing with Python.
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https://github.com/ayaanjawaid/vizualite
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matplotlib numpy pandas python3 streamlit
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https://github.com/swamikannan/neural-network-from-scratch-numpy
Creating a basic NN from scratch to detect numbers from the MNIST dataset using Numpy
ann backpropagation-neural-network backpropogation deep-learning matplotlib-pyplot mnist-classification neural-networks-from-scratch numpy
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incomplete-data machine-learning matplotlib ml numpy pandas python python3 scikit-learn seaborn sklearn
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https://github.com/santiagoenriquega/custom_ensemble_learning
This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.
numpy python python3 random-forest random-forest-classifier random-forest-regressor
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https://github.com/tillahoffmann/idxhound
🐶 Track indices across one or more numpy selections.
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https://github.com/jai0212/cash-app-bias-busters
A platform developed with Cash App to help ML engineers detect and visualize biases in models using Fairlearn. Features include a collaborative and interactive dashboard (React, Chart.js), a Flask backend, and a secure MySQL database for data storage and analysis.
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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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A quick experiment: Region growing (AKA flood fill) algorithm implemented in Cython and Python
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https://github.com/vortexv7/engagevision-yt
Thumbnail Engager is a Streamlit-based web app that uses AI to analyze YouTube thumbnails, providing actionable feedback to improve engagement. Upload a thumbnail to get insights on its strengths, weaknesses, and tips for maximizing views. Perfect for creators looking to optimize their visuals!
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https://github.com/kr1shnasomani/traffisense
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Notes & Code following Python for Data Analysis textbook
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https://github.com/yanboishere/Trade.with-SuperTrend.parameter
OKX API to confirm the process of appearance and disappearance of upper or lower limit lines for the super trend parameters in crypto trading pairs in TraderView, and perform multiple buying and selling transactions based on this parameter index.|对于crypto交易对中 TraderView中的超级趋势参数 出现以及消失上限线或下限线前后过程进行确认 从而根据该参数指标的出现 进行多次合约做多&做空 开仓买卖 (使用OKX api)
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This repository offers a comprehensive collection of data analysis techniques using NumPy Pandas, Matplotlib and Seaborn.
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https://github.com/reusjimenez/python-data-analysis
Casos completos y ejercicios prácticos de análisis de datos. 📊
data-analysis data-visualization jupyter-notebook machine-learning matplotib numpy pandas python sklearn
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Deriving the Local Outlier Factor Score
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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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Exercises - Python for Data Science - NumPy + Pandas
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Application of Machine Learning technique to classify 3 types of iris flower
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https://github.com/elhariri78/case-study-a-better-smoker-detector
Case Study-A better Smoker Detector
data dataframe evaluation kaggle matplotlib-pyplot numpy pandas pandas-dataframe pandas-python python3 seaborn sklearn
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https://github.com/edwardcdev/satellites-chart
A simple dashboard for satellites data statistics by displaying charts such as line-marker, histogram and box charts.
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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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Basic breast cancer detection using Machine Learning
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https://github.com/hansalemaos/cythonflatiter
Locates values in NumPy Arrays with Cython
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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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Worked Example Miner (WEM): A Comprehensive Tool for Analyzing Java Repositories.
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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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Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.
iris-dataset jupyter-notebook linear-regression numpy pandas-python python3 udemy
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Primitive encryption and decryption scripts for PNG images.
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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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Создаю свой модуль для решение задач по вычислительной математике.
mathematics matplotlib numpy python-3
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https://github.com/theanujsinha01/customer-segmentation-using-k-means-clustering
This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters
jupyter-notebook k-means-clustering machine-learning matplotlib numpy pandas python seaborn streamlit unsupervised-learning
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https://github.com/ilovenooodles/image-compression
Tugas Besar 2 Aljabar Linear dan Geometri
image-compression numpy python svd-matrix-factorisation
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This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.
bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization
Last synced: 09 Apr 2026
https://github.com/nikhilroxtomar/introduction-to-numpy
A list of jupyter notebook explaining the various functions and properties of Numpy.
Last synced: 21 Apr 2026
https://github.com/nikorasu/cellularautomata
Nik's Cellular Automata Projects
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https://github.com/adolbyb/data-science-python
An Introduction to Data Science and Data Visualization with the FAU Data Science and Machine Learning Club
data-analysis data-science data-visualization jupyter-notebook matplotlib numpy pandas python 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/charmve/numpycnn
Building Convolutional Neural Networks From Scratch using NumPy
cnn computer-vision deep-learning deep-learning-tutorial machine-learning numpy project python tutotrial
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https://github.com/sultanazhari/credit-scoring
A bank Company Wants to Analize their customer borrower defaults. as a Analyst we're giving the report of category and classification that have a big probability as a customer borrower default.
lending-bank numpy pandas phyton3 probability reporting
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https://github.com/bessarodrigo/dataviz_sales_retail
Este projeto apresenta um mosaico com o Matplotlib com um retrato do desempenho das vendas de uma empresa de varejo.
matplotlib numpy pandas python python3
Last synced: 09 Apr 2026
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
Last synced: 22 Apr 2026
https://github.com/aramshiva/boids
🦅 Artifical Swarm Intelligence
art boids generative math numpy pygame python swarm
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https://github.com/sumitgirwal/diabetes-linear-regression-ml
This is a simple diabetes checker machine learning test model, build with linear regression in Python , Matplotlib, NumPy, and sklearn. Diabetes is built in a dataset within the sklearn library. Where first you train the model then you apply a test to see how the output/result is approximate/good or change something in the model.
linear-regression matplotlib numpy python3 sklearn
Last synced: 18 Apr 2026
https://github.com/abhy-kumar/ahmedabad-weather-projection
This notebook tries to predict Ahmedabad's weather using historical trends
arima-forecasting numpy pandas python
Last synced: 13 Apr 2026
https://github.com/algab/recommedation-content-based
Application of film recommendations from the IMDB database, using as a strategy the content-based recommendation
Last synced: 12 Apr 2026
https://github.com/raghul-m/data-analysis-with-jupyternotebook-python
This repository consists of notebooks where I learned the basics of getting started with data analysis using Python libraries
beautifulsoup4 data-analysis-python eda jupyter-notebook matplotlib-python numpy pandas-python regular-expression seaborn-python webscraping
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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
algebra discrete-mathematics maryam math matrix numpy python python3
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https://github.com/abideen-olawuwo/image-classification
Multi Class Image Classification Problem
classification deep-learning image-classification machine-learning matplotlib numpy pandas tensorflow transfer-learning
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https://github.com/zaaim-halim/image-processing
an implementation of different filters and operations on images using Numpy and little help from OpenCV and PILL
contour-detection corner-detection edge-detection filters image-processing numpy python3
Last synced: 20 May 2026
https://github.com/huichuanli/play-with-linear-algebra
use python3 and Numpy to realize my personal linear Algebra library
Last synced: 07 May 2026
https://github.com/datarohit/nfl-big-data-bowl-2022--analysis
This is a Jupyter Notebook containing the analysis performed on a Kaggle Competition Dataset which contains data about NFL players and games.
kaggle kaggle-competition matplotlib-pyplot numpy pandas plotly python seaborn
Last synced: 09 Apr 2026
https://github.com/lunastev/flowmodel
FlowModel is a lightweight and extensible machine learning framework designed for beginners to easily experiment with AI development through a modular plugin architecture.
ai ai-model ai-models beginner-friendly flow-model flow-models flowmodel framework lightweight machine-learning model numpy plugin-architecture python torch torchvision
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jupyter-notebook numpy pandas python
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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/bielstela/connect-four
Numpy implementation of the game connect four (AKA four in a row)
game-2d numpy numpy-exercises python
Last synced: 19 Apr 2026
https://github.com/vicperal/ai-genai_projects
Python projects about LLM and ML use cases. I am using modules such as Pandas, Numpy, Plotly, scikit-learn, Transformers, Flask, JSON, etc. to analyze data, predict, generate insights and create text from models such as LLMs, linear regression, assembly methods, etc. Server- Front-End using Flask
assembly clinical-trials flask json linear-regression llm ml numpy pandas plotly price-prediction python rag random-forest scikit-learn sentimental-analysis sql text-summarization tokens-counter transformers
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A Text Classification using NLP Techniques.
matplotlib nlp nltk numpy pandas scikit-learn seaborn spacy text-classification
Last synced: 09 Apr 2026
https://github.com/biantris/graph-python
Graph sin vs cos using matplotlib and numpy
matplotlib numpy python python3
Last synced: 21 May 2026
https://github.com/nathanielsimard/numpy-mnist-classifier
Feed forward neural network using Numpy for MNIST classification.
deep-learning machine-learning mnist mnist-classification mnist-classifier numpy
Last synced: 29 Apr 2026
https://github.com/renan-siqueira/face-recognition-research
This project pertains to video analysis, face recognition, and image clustering.
data-science deep-learning dlib docker docker-image face-recognition machine-learning neural-network neural-networks numpy opencv opencv-python pillow python scikit-learn scipy
Last synced: 13 Apr 2026
https://github.com/docsallover/real-time-object-detection
Real-Time Object Detection with Single Shot MultiBox Detector (SSD)
data-science data-science-projects detection machine-learning numpy opencv python single-shot-detection single-shot-multibox-detector tensorflow
Last synced: 09 Apr 2026
https://github.com/pjessesco/print2d
Replacement of `print()` for printing 2d array with readability including Torch and Numpy.
formatted-text numpy print python3 readability torch
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https://github.com/ahammadshawki8/numpy-journey
🎉 Welcome to the journey with NumPy! From this repository, You can learn all about Numpy. ✔
array beginner-friendly math numpy python
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https://github.com/ioangatop/machinelearning
Implementation and analysis of core Machine Learning Algorithms from scratch.
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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
decision-tree-classifier machine-learning numpy python start-from-scratch
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https://github.com/kientech/calories-burnt-prediction-with-machine-learning
The Calories Burnt Prediction with Machine Learning project aims to predict the number of calories burned during physical activities based on various factors such as duration, activity type, age, weight, and more.
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https://github.com/kevinlacaille/hs1549-hs1700-s2-protoclusters
Code used to galaxy protocluster analysis for Lacaille, K. et al., 2019, MNRAS
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https://github.com/iliatrofimov/linearsystems_solvers
Several methods of solving sistems of linear equasions
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데이터 분석 연습문제 풀이
dataframe jupyter numpy pandas
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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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Challenges for DA with Python Certification on FreeCodeCamp
matplotlib matplotlib-pyplot numpy pandas
Last synced: 21 Apr 2026
https://github.com/aryansk/human-counting-system
HumanVision-Detector is a real-time human detection system built with OpenCV and HOG (Histogram of Oriented Gradients) descriptor. The system can detect and count people in both images and video streams, making it suitable for various applications including surveillance, crowd monitoring, and foot traffic analysis.
argparse imutils machine-learning machine-learning-algorithms numpy opencv python
Last synced: 19 Apr 2026