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/cchandre/kh
Kramers-Henneberger reductions of Hamiltonian dynamics
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https://github.com/imswappy/brain-tumor-detection
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kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model
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https://github.com/kevinlacaille/hs1549-hs1700-s2-protoclusters
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data-analysis mathematics matplotlib numpy pandas portfolio probability python seaborn sql statistics
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cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow
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https://github.com/li-plus/tinynn
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backend clustering flask frontend kmeans-clustering matplotlib numpy pandas python rfm-analysis scikit-learn unsupervised-learning
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https://github.com/harikrishnan669/python
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matplotlib numpy pandas python tkinter tkinter-gui
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https://github.com/listiangr/play_tennis_classification
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classification flask html-css jupyter-notebook kaggle-dataset naive-bayes numpy pandas pickle play-tennis python sklearn
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https://github.com/subh888999/-online-food-ordering-behavior-analysis-projects
This project analyzes online food ordering behavior to uncover key insights on customer preferences, restaurant performance, and factors influencing order volume. Through data-driven analysis, it aims to help optimize pricing, delivery times, and customer experience for food delivery platforms and restaurants.
matplotlib numpy pandas python seaborn statistics
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https://github.com/datarohit/imdb-reviews-sentiment-analysis
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https://github.com/kiritoind/neural-network-for-cat-image-classification
This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction
classification computer-vision deep-learning deep-neural-networks jupyter-notebook numpy python
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https://github.com/singh-dhruv/traffic-light-detection-and-recognition
Welcome to this repository! Here we explored the topic of traffic lights detection and its recognition for helping the Autonomous Vehicles in their interpretation of traffic lights and decision making while driving.
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https://github.com/arufonsekun/computer-vision
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Employee Data Analysis
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https://github.com/freebirdscrew/datascience_crash_course
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https://github.com/sarthak-1408/rain-fall-prediction
This repository represents the End to End Machine Learning Project (Rain Fall Prediction in Australia).
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https://github.com/heshanera/paclassifier
Online Passive Aggressive Binary Classifier
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Determine which Whale portfolio is performing the best across multiple areas: volatility, returns, risk and Sharpe ratios.
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https://github.com/kamakshi4023/brain-tumour-detection
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NumPy Persistence to Non-Volatile Memory
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https://github.com/RsGoksel/Genetic-Algorithms
A Guide to Problems and Solutions on Genetic Algorithms
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Benchmark functions to test optimisation algorithms.
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https://github.com/celineboutinon/bottleneck
ENSAE-ENSAI Formation Continue (Cepe)/OpenClassrooms Data Analyst 2022-2023 - Projet 5
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