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/gsaini/streamlit-ui-getting-started
Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!
codecov github-actions numpy pandas python streamlit unittest
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https://github.com/goessl/complex-random
A package for the most basic complex random sampling.
complex complex-numbers complex-plane normal-distribution numpy pip python random random-number-generator uniform-distribution unit-circle
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https://github.com/tomdewildt/interactive-and-explainable-ai-design
Code for The Interactive And Explainable AI Design course of my master's degree
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A Django-based Sentiment Analysis web app leveraging the power of the BERT transformer model to classify text sentiment accurately.
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https://github.com/takana671/fluidcube
Particle Movement Using Curl Noise
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https://github.com/huzaifa12466/neuralnetscratch
A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset
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https://github.com/lmlk-seal/pyspeed
Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.
analyzer customtkinter gui intelligent numpy optimization optimization-tools performance python real-world-problem-solving
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analysis data dataframe jupyter kaggle matplotlib notebook numpy pandas pyplot python science seaborn visualisation
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https://github.com/gilevatanya/yandex-practicum-projects
Кейсы решенные на курсах Яндекс Практикума.
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Built an ML model to predict height of a person based on their age.
linear-regression machine-learning machine-learning-algorithms matplotlib numpy sckit-learn supervised-learning
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https://github.com/lfgodoi/rpm-deep-guesser
A deep learning-based RPM estimator based on spectral features extracted from vibration signals of rotating machines.
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This Repository contains the project related to my portfolio
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https://github.com/manshreet27/mrs
This Movie Recommendation System is a web-based application built using Python and Streamlit, designed to provide movie recommendations based on user preferences. It utilizes TMDb API for fetching real-time movie details and Kaggle's TMDB 5000 Movies dataset for content-based filtering.
numpy pandas python scikit-learn streamlit tmdb-5000-movies-dataset-from-kaggle tmdb-api-for-fetching-real-time-movie-data
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• This deep learning model is developed to classify and identify different types of brain tumors, as well as determine their existence, using Convolutional Neural Networks. This is achieved through the training and testing of 3264 MRI images.
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https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection
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classification cross-validation data-modeling data-reporting data-visualization databases dataframes eda grid-search matplotlib numpy pandas python scikit-learn statistics supervised-ml
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Our knowledge system systematically ingests, processes, and indexes open-access life science publications. It supports internal research by providing precise question-answering and efficient retrieval from a continuously updated repository of scientific literature
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