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/garcane/Income-Prediction-ML
This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
data data-science machine-learning ml numpy pandas python random-forest scikit-learn
Last synced: 24 Oct 2025
https://github.com/rudrakshi99/movie-recommendation-system
Movie recommendation system using machine learning and predict user ratings for the movies.
dataframes machine-learning matplotlib numpy pandas seaborn
Last synced: 07 May 2026
https://github.com/mgobeaalcoba/pandas_y_numpy
Trabajos realizados con estas librerías de Python para manejo de datos.
data-analysis data-science dataset numpy pandas python
Last synced: 28 Apr 2026
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/kritimbist/365-days-of-github-challenge-ai-machine-learning
This repository is part of my 365 Days Challenge: AI × Machine learning, where I combine my passion for Machine Learning 🤖 to learn, build, and document projects every single day for one year.
data-science data-visualization deep-learning machine-learning matplotlib numpy python scikit-learn
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https://github.com/hpennington/mono-visual-odometry
Monocular Visual Odometry in NumPy
computer-vision numpy opencv python
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https://github.com/vtramo/neural-networks-experiments-from-scratch
The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.
activation-functions backpropagation batch-learning classification-problem early-stopping gradient-based-algorithm improved-resilient-backpropagation irprop kfold-cross-validation minibatch momentum neural-network numpy online-learning python python3 resilient-backpropagation rprop softmax stochastic-gradient-descent
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https://github.com/abhishek010397/logisticregression
Using Logistic Regression Classifier to Predict Target Using Three Features
csv iloc logistic-regression machine-learning numpy pandas-dataframe python3 sigmoid-function sklearn
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https://github.com/meghajbhat/photo-editor
This is a Photo Editor Application with various image processing functionalities using Tkinter for the GUI and OpenCV for image manipulation. The application allows users to apply multiple filters and transformations to images such as Black and White, Pencil Sketch, Sepia, Crop, Sharpen, Contrast, X-ray, and Brighten.
gui numpy opencv opencv-python python python3 tkinter tkinter-gui tkinter-python
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https://github.com/javierkaiser9/rgb-d_dual_input_machine_learning_model
This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO
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https://github.com/gehad-ahmed30/data-analysis
This repository offers a guide to data visualization with Pandas and includes practical examples and two complete projects. Learn to preprocess, analyze, and visualize datasets to solve real-world problems effectively.
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https://github.com/shsiena/Evolutionary-Dots
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https://github.com/nikorasu/nantarray
An array-based cellular-automata implementation of my ant pheromone simulation!
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https://github.com/grampers-dev/co2oracle
The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for environmental management. Using a Kaggle dataset, it demonstrates predictive analytics to understand and forecast emissions. Written in Python, it employs libraries like Pandas, NumPy, and Scikit-Learn.
artificial-intelligence machine-learning numpy pandas python scikit-learn
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https://github.com/tynab/descriptive-statistics
CyberSoft Machine Learning 03 - Descriptive Statistics
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A neural network implemented in python.
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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/tynab/numpy
CyberSoft Data Analyst 08 - NumPy Basic
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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/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.
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https://github.com/erenokur/machine-learning-playground
Experiment with machine learning and AI algorithms, write guides, and documents.
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https://github.com/yash22222/sync-intern-s-ml-tasks
SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.
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SI unit system in Numpy as native dtype
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Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.
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This notebook implements a structured machine learning pipeline to classify cosmic data using the CatBoost Classifier, known for its efficiency with categorical features and minimal preprocessing requirements.
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https://github.com/tynoee/movies-data-anlysis
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https://github.com/emmanuelezenwere/aind-aiprojects
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https://github.com/toby-sanders-101/mydigits
Everything needed to create a AI bot that can read images
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https://github.com/aroojzahra908/artifical-intelligence-and-machine-learning-
Explore the basics of linear regression, gradient descent, and AI using Python. Get hands-on with NumPy, pandas, Matplotlib, and scikit-learn for practical learning.
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https://github.com/cybergeek1943/mathflow
Like `requests` for mathematical computing, making complex math feel simple.
analysis calculator calculus mathematics numerical-analysis numerical-methods numpy python-math scipy symbolic-expressions symbolic-math sympy
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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
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https://github.com/ralstonraphael/water_access_ml_project
This project analyzes life expectancy data from the World Health Organization (WHO), sourced from Kaggle. The dataset spans 183 countries across 6 regions, covering metrics such as life expectancy, mortality rates, healthcare access, and socioeconomic factors.
data-science machine-learning numpy pandas python
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https://github.com/dadadel/multilayerperceptron
Multi Layer Perceptron
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ai datamanipulation ml numpy opencv python
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https://github.com/ki-seki/set_determ
Set deterministic modes of `random`, `torch` and `numpy` to ensure reproducibility. Idea is inspired by https://darinabal.medium.com/deep-learning-reproducible-results-using-pytorch-42034da5ad7
deterministic numpy pytorch random-generation reproducibility
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https://github.com/akashash01/logistic-regresion
This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
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/framebuffers/mindhunter
Wrappers for Pandas DataFrames to add quicker access for common statistical values, utilities and functionality.
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https://github.com/neetigyab/pdfreader
Ready to use Python application/file for parsing a specific format of pdf form, and storing relevant user data in a tabular format in excel sheet
excel forms matplotlib numpy ocr opencv-python pandas pdf pdf-converter pdfplumber pytesseract python
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https://github.com/sominw/cheatsheets
Useful cheatsheets for DS.
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https://github.com/iv4n-ga6l/openpose-prediction
Person's body parts or joint position detection using openCV
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https://github.com/wenlu057/deep-learning-practice
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A simple Python library to build and train deep neural networks (SLP and MLP). It includes functions for forward propagation, backpropagation, loss calculation, and model saving/loading.
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https://github.com/uni-creator/handwritten_number_recognition_system
A Handwritten Number Recognition System built from scratch using Deep Learning from Scratch. The model is trained on digit images and can classify handwritten numbers with high accuracy.
computer-vision deep-learning handwritten-digit-recognition image-processing implementation-from-scratch minst nueral-networks numpy pandas pytorch
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https://github.com/carmoreno/analisisaccidentalidadbogota
Data Analysis about traffic accidents at Bogotá, Colombia.
data-analysis data-science jupyer-notebook matplotlib numpy pandas scikit-learn
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https://github.com/lgeiger/mypy-einsum
MyPy Type Checking for NumPy/Jax/PyTorch Einsum Operations
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https://github.com/idow09/ud810-problem-sets
Solutions to the problem sets of Introduction to Computer Vision course at Udacity
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Last synced: 09 May 2026
https://github.com/rakibhhridoy/exploratorydataanalysis-python
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
ab-testing chitest data-science eda exploratory-data-analysis ftest hypotheses hypothesis-testing inferential-statistics numpy pandas python statistical-analysis statistics statsmodels ttest
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https://github.com/py-mp3/boston-comparing-regression-modules
A ipynb file that compares different regression modules in the sk.learnit library.
ipython-notebook numpy pandas python regression-models seaborn sklearn
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https://github.com/alexcoder04/image-edit
A Python GUI for basic image editing, school project
fun gui image-editing image-processing numpy pil pyqt pyqt5 python python3 qt sideproject
Last synced: 09 May 2026
https://github.com/hamidhosen42/a-graph-machine-learning
Graph-Machine-Learning. Graph Machine Learning provides a new set of tools for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks.
ipynb-jupyter-notebook machine-learning-algorithms mathplotlib numpy pandas python sklearn-library
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https://github.com/rishabhmathur06/imagecompressor-using-cnn
cnn computer machine-learning numpy tensorflow
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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/haloapping/sharing-tipis-tipis
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https://github.com/paulo-santos-ds/analise_corrida_taxi
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math matplotlib numpy pandas python3 seaborn sql
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https://github.com/rubinlake/rl-academy-data-analytics
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https://github.com/vineet416/chronic-kidney-disease-prediction
This repository contain code of Chronic Kidney Disease Detection Prediction Project. The goal of this project is predict the chronic kidney disease using parameters like Diabetes Mellitus, Blood Urea, Sugar, Hypertension etc.. I used multiple machine learning algorithms with hyperparameter tuning which is having highest accuracy score of 97.5
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This Python project utilizes PyTorch to perform text classification with an attention mechanism. Pre-trained GloVe embeddings are processed for word representation, and a custom attention model is trained on consumer complaint data to categorize complaints into product categories.🎯
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https://github.com/madhuresh2011/amazon-sales-report-analysis-using-python
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https://github.com/shriram-vibhute/digit_classification
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Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.
algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow
Last synced: 06 Apr 2026
https://github.com/takana671/photoeditor
Python image processing tool
canvas composite dialog-box drag images-dragged numpy opencv photoeditor pillow pixel tkdnd tkinter tkinter-canvas tkinter-python tkinterdnd tkinterdnd2
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https://github.com/tillahoffmann/idxhound
🐶 Track indices across one or more numpy selections.
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https://github.com/eljandoubi/landmark-classification-tagging-for-social-media
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https://github.com/saif-gitreps/car-price-prediction-model
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Last synced: 01 Apr 2025
https://github.com/RYANFRANKLIN237/Data-science-ml
trained ML and DL models to give accurate classifications,predictions and recommendations
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Last synced: 30 Apr 2025
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realtime handwritten digit recognition & mnist digit classification from scratch w/ only maths and numpy
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https://github.com/isaacef/independent-motion-detector
Detect independently moving objects in a scene captured by a single camera.
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https://github.com/renan-siqueira/face-recognition-research
This project pertains to video analysis, face recognition, and image clustering.
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Feed forward neural network using Numpy for MNIST classification.
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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.
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https://github.com/abhy-kumar/ahmedabad-weather-projection
This notebook tries to predict Ahmedabad's weather using historical trends
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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.
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https://github.com/rasbeetech/loan-calculator
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https://github.com/msadeqsirjani/machine_learning_hands_on
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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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https://github.com/abdullokhonz/python_lessons
Python lessons are here.
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