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: 2026-06-23 00:21:44 UTC
- JSON Representation
https://github.com/framebuffers/mindhunter
Wrappers for Pandas DataFrames to add quicker access for common statistical values, utilities and functionality.
data-analysis data-science numpy pandas python utilities-python
Last synced: 08 May 2026
https://github.com/akash-rajak/image-noise-remover
Python Script to remove noise from image.
cv2 image-noise-remover numpy os python3 random tkinter
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https://github.com/sominw/cheatsheets
Useful cheatsheets for DS.
cheat-sheets cheatsheet numpy pandas probability
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https://github.com/datarohit/churn-prediction-for-bank
This Dataset has various information about customers of Bank. The Problem is that many customers tend to leave the bank so using the features give we have to predict whether a customer will leave the Bank or Not.
churn-prediction classification matplotlib-pyplot numpy pandas seaborn sklearn
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https://github.com/amorehead/ml-fundamentals
A self-educational series of Python scripts made to explore the vast library of machine learning knowledge.
machine-learning numpy pandas python scipy sentdex tensorflow tflearn
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https://github.com/tansudasli/analytics-sandbox
from Statistical approach to Machine learning
feature-engineering machine-learning matplotlib numpy opencv pandas probability regex scikit-learn seaborn statistics
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https://github.com/mikelane/neuralnetwork
A neural network implemented in python.
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https://github.com/pradipece/insurance_data_analysis_ml
This project approach defines the terms machine learning and linear regression ML algorithm in the context of real-time problem-solving.
data-science data-visualization database machine-learning matplotlib numpy pandas python python3
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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/alexcoder04/image-edit
A Python GUI for basic image editing, school project
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https://github.com/arshitarora/image-overlaying-prespective
Perform perspective warping and image fusion in Python using OpenCV and NumPy. Select four points on the base image to define the region where the subject image will be warped and fused. The script creates a fused image and saves it as Final_Output.png. 🖼️🌌🔮
image numpy opencv python swap
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https://github.com/khaymanii/medical_insurance_cost_prediction-_model
This Model was built using Python and Linear Regression algorithm
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https://github.com/duoan/dl-bike-sharing-demand
ractice neural network implemented just with numpy for Kaggle Bike Sharing Demand
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https://github.com/haloapping/sharing-tipis-tipis
#sharingtipistipis 📗 catatan ketika belajar machine learning, deep learning dan masih banyak lagi.
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https://github.com/paulo-santos-ds/analise_corrida_taxi
Este projeto tem como objetivo analisar os dados de um aplicativo fictício de caronas. Encontrar padrões nas informações disponíveis, entender as preferências dos passageiros e o impacto de fatores externos nas corridas.
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https://github.com/rubinlake/rl-academy-data-analytics
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https://github.com/shanmukhsrisaivedullapalli/cifar10
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https://github.com/sun-data/ndfilters
Numba-accelerated, n-dimensional image filters.
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https://github.com/vasugi2003/air-pollution-detection-using-machine-mearning
Air Pollution Detection using Machine Learning
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https://github.com/kaushikrohida/leetcode-premium
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https://github.com/prithivsakthiur/qwen-image-edit-2509-loras-fast
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https://github.com/bobzheng00/medscan-mentor
MediScan Mentor is an innovative application designed to assist medical students in interpreting CT scans.
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https://github.com/alvinmurimi/jumia
Data analysis on smartphones listed on jumia.co.ke
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Longitudinal neurophysiological study of adult psychometric testing.
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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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https://github.com/abdulfatir/subkmeans
Numpy and pyCUDA implementation of subKmeans
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https://github.com/deusares/drawerfunctions
A collection of PIL, Numpy and OpenCV functions to manipulate images
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https://github.com/ibz-04/number-plate-recognition
Vehicle number plate recognition using computer vision and image processing
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https://github.com/pandeyankit123/books-recommender-system-using-machine-learning
This is a streamlit web application that can recommend various kinds of similar books based on an user interest.
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https://github.com/ashishtukaral/sign-language-recognition-using-ai
A real-time Sign Language Recognition system using AI to translate hand signs into text and speech, enhancing communication for individuals with hearing impairments. This web application leverages neural networks and computer vision to provide accurate and accessible translation.
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https://github.com/katerynazakharova/olive-separation
CV
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https://github.com/laavanjan/lstm-rnn-next-word-prediction
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https://github.com/balaji24092001/python
All python related content: notes, problems, progress archive.
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https://github.com/eljandoubi/huggingface_image_classifier
Fine-tune the Vision Transformer (ViT) using LoRA and Optuna for hyperparameter search.
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https://github.com/singhmnprt01/Custom-Deep-Neural-Network-Package
A custom deep neural network package that gives the liberty to design your deep neural network using only NumPy
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https://github.com/shivendrra/Seeker
This project will help to write new scripts for YouTube videos from scratch using fine-tuned Llama-7B
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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/harmanveer-2546/dust-detection-on-solar-panel-using
The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.
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https://github.com/petitgrizzlies/metaheuristiques
Travaux pratiques de meta heuristique. Unige 2016-2017
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https://github.com/dudynets/numerical-methods-labs
Labs for Numerical Methods course at Ivan Franko Lviv National University.
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Last synced: 02 Apr 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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https://github.com/pvlbzn/kot-or-not
Logistic regression (shallow neural network) which predicts whether input image is a cat or not.
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https://github.com/miroslav-reiter/kurz_ako_sa_stat_datovym_analytikom_python
🐍 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)
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https://github.com/moindalvs/simple_linear_regression_1
Predicting Delivery Time Using Sorting Time
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https://github.com/vbharadwaj-bk/python_cpp_tutorial
Code for a Tutorial on Writing C++ Extensions for Python.
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https://github.com/virajbhutada/google-stock-price-forecasting-lstm
Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.
data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting
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https://github.com/aminkhavari78/geoai-challenge-estimating-soil-parameters-from-hyperspectral-images-
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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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https://github.com/harshita2234/breast-cancer-prediction
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https://github.com/epsoft/traffic
traffic
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https://github.com/gregoritsch3/ml_eda_classification_loanapprovalprediction
An EDA and Machine Learning Classification exercise on the Loan Approval dataset demonstrating EDA, feature engineering, StratifiedKFold and the use of Tensorflow NN, SVC, LinearSVC, XGBoost, Naive-Bayes, Bagging, Random Forest and Decision Tree algorithms.etc. The modela are optimized using hyperparameter tuning through GridSearchCV.
eda feature-engineering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn tensorflow
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https://github.com/abrarshahok/wildlife-species-identification-using-cnn
In this project i've built and trained a Convolutional Neural Network (CNN) to classify wild animals.
cnn cnn-classification cnn-keras cnn-model convolutional-neural-networks neural-network numpy opencv pandas python scikit-learn tensorflow wildlife-classification
Last synced: 12 Apr 2026
https://github.com/isa1asn/plagiarism-detector
Plagiarism detection for Amharic language text
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Last synced: 11 May 2026
https://github.com/gauranshgoel123/predictive-demand-analysis
Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend
chartjs data-analysis data-science data-visualization dataset deployment full-stack machine-learning numpy pandas predictive-analysis prophet-model python reactjs render
Last synced: 13 Apr 2026
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/paulo-santos-ds/dados-telefonia
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matplotlib numpy pandas python3 sklearn
Last synced: 12 Apr 2026
https://github.com/serhatderya/tabular-playground-series
This repository contains solutions of monthly Tabular Playground Series in Kaggle.
ai artificial-intelligence data data-preprocessing data-processing data-science data-visualization jupyter-notebook kaggle machine-learning numpy pandas python regression scikit-learn scikitlearn-machine-learning seaborn software statsmodels
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https://github.com/mahboobehad/ocausal
Outlier Causal Relations
causality-analysis datamining networkx notebook numpy outlier-detection python
Last synced: 14 Apr 2026
https://github.com/li-plus/tinynn
An educational PyTorch-like neural network framework based on NumPy
autograd deep-learning machine-learning neural-network numpy python
Last synced: 30 Apr 2026
https://github.com/mardavsj/numpy-in-python
The fundamentals of Python NumPy Library.
analysis-tool data-manipulation numpy numpy-arrays numpy-matrix python
Last synced: 14 Apr 2026
https://github.com/hamdaniqhmqd/project-predict-saham-bbri
Repository Project-Predict-Saham-BBRI is a group assignment project that uses Streamlit, scikit-learn, and related technologies to build a BBRI stock price prediction application based on day, week, and month input.
data-visualization numpy pandas python sklearn streamlit
Last synced: 11 Apr 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/hossein-cod/deep-learning-for-training
Analysi hear disease data set with deep learning
accuracy chart jupyter keras matplotlib numpy pandas py python sklearn tensorflow
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https://github.com/freebirdscrew/datascience_crash_course
Data Science Crash Course that Explained about Each and Every Process in Data Science.
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https://github.com/apoorva-info/eye-blink-detetction
Blink Detector Sensitive to Facial Orientation
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https://github.com/vidhi1290/zomato-data-analysis
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https://github.com/avs123a/image-color-spaces-morphology-demo
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https://github.com/animesh-ghosh/summer-training
Work done during Summer Training with OSAHub.
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https://github.com/hernandemonteiro/host_national_search_2015
Análise Estatística da Pesquisa Nacional por Amostra de Domicílios
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https://github.com/matx64/rs-netbot
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https://github.com/abhishek010397/machinelearning-modeltraining
Machine Learning Model Training for Car Detection
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https://github.com/hklyousfi/cyberxnoteloom
Hybrid piano synthesizer with ADSR envelopes, resonance modeling, and MIDI rendering
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Last synced: 30 Apr 2026
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
Last synced: 30 Apr 2026
https://github.com/shreeyas-48/creditcardfrauddetection
Project for detecting credit card frauds using neural networks and logistic regression
autoencoder keras logistic-regression matplotlib neural-networks numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/isurusenarath1/weather-prediction-ml-model
Weather Prediction Using KNN
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Last synced: 29 Apr 2026
https://github.com/cchandre/kh
Kramers-Henneberger reductions of Hamiltonian dynamics
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https://github.com/imaginesamurai/advanced-vision-system
A Python-based camera handling utility that provides seamless control over video capture with advanced zoom functionality. Features include adjustable resolution, smooth digital zoom controls, and efficient frame processing, ideal for computer vision applications.
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https://github.com/martincastroalvarez/python-deep-learning-algorithms
Combinatorics implemented with numpy, matplotlib and scipy.
algebra combinatorics matplotlib numpy python scipy
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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.
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Last synced: 30 Apr 2026
https://github.com/sralter/term_deposit_marketing
Predicting which customers will most likely purchase a type of financial product, achieving a time savings of over 93%.
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https://github.com/rishraks/color-object-detection
This project enables real-time detection of user-defined color objects using a webcam. Users enter a color name, and the program identifies objects matching that color by converting it to its HSV range, applying a mask, and detecting contours. It's a practical tool for object tracking, sorting, and interactive applications.
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https://github.com/faisal-khann/comprehensive_banking_portfolio
This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.
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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.
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https://github.com/ashraf-khabar/funcplot-plottingfunctionsmadeeasy
FuncPlot is a user-friendly app built with Kivy and KivyMD that allows you to easily plot and visualize mathematical functions on your desktop or mobile device. With its intuitive interface and support for multiple functions, FuncPlot makes it easy to explore and understand complex mathematical concepts.
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https://github.com/carlthome/ipytoolbox
A collection of IPython magics and other utilities
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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.
Last synced: 29 Apr 2026
https://github.com/savernish/forgenn
forgeNN is a in-development purpose‑built neural network framework combining a transparent NumPy autograd engine with a Keras‑like API and performance oriented primitives. Developed by a college student with an ambitious feature pipeline.
artificial-intelligence deep-learning keras machine-learning mlp-networks neural-network numpy pytorch tensorflow tensors
Last synced: 08 Oct 2025
https://github.com/billgewrgoulas/hypothesis-testing-on-37-seasons-of-nba
First assignment for the course Data Mining @CSE.UOI
data-analysis data-science numpy scipy seaborn statistics
Last synced: 01 May 2026
