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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/mark0011astra/simplecuda
CUDAを使用したGPU演算をNumPyと同様のインターフェースで簡単行えるライブラリ。A library that allows users to easily perform GPU operations using CUDA with a NumPy-like interface.
cuda cupy gpu machine-learning numpy python vector
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https://github.com/ayaanjawaid/google_playstore_data_analysis
This project provides an in-depth analysis of Google Play Store apps and user reviews, focusing on understanding app performance, user sentiment, and key trends in app categories. Using Python, I performed data cleaning, feature engineering, and exploratory data analysis (EDA) on app data and reviews.
data-analysis eda html numpy pandas-dataframe plotly python vizualisation
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https://github.com/octcarp-courses/SUSTech_CS303-AI_F23_Works
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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
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https://github.com/ola-kaznowska/ai-digit-recognition
AI digit recognition. Artificial neural network for digit recognition
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https://github.com/cosama/vasapy
Vectorized Associative Arrays for Python
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https://github.com/chriszethird/image-recognition-without-neural-network
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https://github.com/aarryasutar/pipe_leak_estimation_predictor_model
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https://github.com/abhihirekhan/abhi-s-data-science-portfolio
A list of data science projects completed by me for academic, self learning, and creative purposes
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NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.
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Data Science and Analysis Playground.
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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.
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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)
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Control your PC's mouse by just looking at the screen!
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Notes & Code following Python for Data Analysis textbook
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Minimally cache python function outputs on disk!
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A VTO
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https://github.com/mrbrain295/prime-finder
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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.
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https://github.com/hpennington/mono-visual-odometry
Monocular Visual Odometry in NumPy
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https://github.com/spandey1296/internship_banking_ml_project
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https://github.com/mahiponii/hyperion_sort
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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/guifernandess7/megasena-estatisticas-e-analises
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The code file contains the Analysis of Diwali sales. Performed Exploratory Data Analysis (EDA) on Measure Values.
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Data analysis practice
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https://github.com/cchandre/kh
Kramers-Henneberger reductions of Hamiltonian dynamics
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Weather Prediction Using KNN
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Hybrid piano synthesizer with ADSR envelopes, resonance modeling, and MIDI rendering
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Python implemntation of Conjugate Gradient method and Adam, and Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimizers from scratch.
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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/nmsby/pca-machine-learning-lab
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/anarya22/heart-disease-classification
Predicting heart disease using machine learning. This notebook looks into various python base ML and DS libraries in an attempt to build a machine learning model capable of predicting whether or not someone has heart disease based on their medical attributes.
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https://github.com/khaymanii/big_mart_prediction_model
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https://github.com/joshi-jyoti/heart-disease-prediction
This repository contains a Python-based project for predicting the likelihood of heart disease using a Logistic Regression machine learning model. It leverages a dataset of patient medical information to train and evaluate the model, providing insights into potential diagnoses.🩺
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https://github.com/cchandre/rg
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https://github.com/scorleos773/three-body-problem-simulator
Three-Body Problem Simulation - A Python-based simulation of the Three-Body Problem with both 2D and 3D visualizations. Uses `matplotlib` and `scipy` to model gravitational interactions and animate orbital trajectories. 🚀🔭
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