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/stella4444/linear-regression
learning about linear regression (currently a work in progress) ~ working with data
linear-regression machine-learning numpy scikit-learn
Last synced: 20 Jan 2026
https://github.com/rutujaingole/jailbreaking-deep-models
This repository contains the codebase for Jailbreaking Deep Models, which investigates the vulnerability of deep convolutional neural networks to adversarial attacks. The project systematically implements and analyzes Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and localized patch-based attacks on the pretrained
adversarial-attacks deep-learning densenet121 fgsm-attack imagenet-classifier jailbreak machine-learning numpy patch-based-attack pgd-adversarial-attacks torch
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https://github.com/coderjolly/employee-information-retrieval-system
An information retrieval system constructed using Flask to perform ETL operations while ingesting New York Payroll data and provide a frontend user interface for manipulating filters and queries.
etl flask mvc numpy pandas python sqlite3
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https://github.com/omarsaad21/shopping-cart-eda
An EDA python project focusing on getting the most out of a movies dataset (- 1- combine this data together - 2- check messing values - 3- show summary statistics - 4- deal with date time and extract features from dates - 5- answer at least three questions from this data)
eda jupyter-notebook numpy pandas plotly python
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https://github.com/adi3042/sensor-fault-detection
🔍⚙️ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! 🚨🔧 SensorFaultTech
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https://github.com/yasharmaster/coursera-deep-learning
Deep Learning Specialization by Andrew Ng on Coursera.
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https://github.com/tanmay-312/pacman-game-python
"Embark on a nostalgic journey with my Python Pac-Man game! 🎮🕹️ Crafted using pygame, tcod, numpy, and enum libraries, it's a modern twist on a classic. Navigate the maze, chomp pellets, and evade ghosts in this retro-inspired adventure! 🚀👻 #PythonGameDev #PacManRevival #ClassicGaming"
enum game game-development gamedev numpy pygame pygame-games python python-3 python3 tcod
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https://github.com/lorenzorottigni/ml-spam-filter
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https://github.com/hmourad2023/tweets_sentiments_emotions_analysis
Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
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https://github.com/npodlozhniy/dl-tinkoff
This is a warehouse of my homeworks for master MIPT deep learning course from Tinkoff FinTech
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https://github.com/frauvate/cheatsheet
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https://github.com/psycho-poodle/simple_rnn_imdb
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https://github.com/nishantksingh0/twitter-sentiment-analysis
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https://github.com/dane-meister/machine-learning-algos
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artificial-intelligence collaborative-filtering content-based-filtering cosine-similarity data-preprocessing jupyter jupyter-notebook machine-learning matrix-factorization numpy pandas predictive-modeling python3 recommendation-system recommender-system scikit-learn sckit-surprise
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https://github.com/nickklos10/league-of-legends-match-predictor
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지역 축제를 기반으로 하는, 게이미피케이션을 접목시킨 지역 상권 맞춤 추천 서비스
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Khám phá các sự thật ở Việt Nam với thống kê và số liệu từ tổng cục thống kê Việt Nam
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https://github.com/shwetapardhi/assignment-3-q3-hypothesis-testing
Chi2 contengency independence test image of Buyer Ratio Assume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does v
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matplotlib numpy pandas python
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https://github.com/amirkh777/data-science-yandex-practicum
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Fine-tunning MatCha model for better python matplot lib code generation by given chart.
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https://github.com/amruta33/customer-support-on-twitter
The Customer Support on Twitter dataset is a large, modern corpus of tweets and replies to aid innovation in natural language understanding and conversational models, and for study of modern customer support practices and impact.
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📈💰 Investment propensity prediction model
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https://github.com/elhanarinc/deeplearning
Ceng 783 Deep Learning Assignments
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https://github.com/dane-meister/neural-network
Creating a Neural Network from scratch.
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https://github.com/adarshpheonix2810/fake-job-post-detection
This project focuses on detecting fake job posts using machine learning. Fake job advertisements are often created to scam individuals by stealing personal information or money.
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Last synced: 12 Apr 2026
https://github.com/kr1shnasomani/DeepDetect
Traffic light, vehicle and human detection from aerial images using YOLOv8 model and Computer Vision
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Last synced: 03 Sep 2025
https://github.com/tebogoyungmercykay/mathematical_modelling_in_python
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
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