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/mtgsoftworks/blink-detecion-player
It is a software that has the ability to stop and play the videos watched on youtube and rewind when the eyes of this software are closed and opened.
dlib numpy opencv-python python3 scipy selenium-webdriver
Last synced: 13 Apr 2026
https://github.com/jaypanchal9/spotless-data
Spotless Data: A Python-based workflow using Jupyter Notebooks for efficient data cleaning, preprocessing, handling missing values, correcting outliers, and integrating external datasets ideal for quick, reliable, and clean data preparation.
data-cleaning data-preprocessing data-wrangling matplotlib numpy pandas python3
Last synced: 13 Apr 2026
https://github.com/aymen016/data-visualization
A collection of data analysis projects using Python, covering various datasets and domains. Includes EDA, preprocessing, data visualization (Matplotlib/Seaborn), and Power BI dashboards.
dashboard eda jupyter-notebook matplotlib-pyplot matplotlib-python numpy pandas pandas-dataframe powerbi python seaborn seaborn-python visualization
Last synced: 15 Jun 2026
https://github.com/lynk4/ai-ml
Artificial Intelligence (AI) and Machine Learning (ML) ....;)
ai artificial-intelligence huggingface huggingface-transformers machine-learning-algorithms machinelearning numpy pandas prediction-model predictions python python3 sckit-learn sentiment-analysis
Last synced: 15 Apr 2026
https://github.com/anidipta/risk-sense
Risk Sense : Next-Gen Fraud Predictor
convolutional-neural-networks machine-learning machine-learning-algorithms numpy python streamlit
Last synced: 30 Jan 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
Last synced: 28 Apr 2026
https://github.com/prabath1998/rice_leaf_disease_ditection_system
This project is a Paddy Crop Disease Detection System that uses machine learning to identify diseases in paddy (rice) leaves. Farmers can upload an image of a paddy leaf, and the system will predict whether the leaf is healthy or affected by a specific disease
flask joblib numpy opencv pillow sklearn
Last synced: 15 Apr 2026
https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization
Project for IBM Data Science course on Visualization & Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard
communication dash dashboards data-modeling elt etl folium matplotlib numpy pandas pipelines plotly python scipy seaborn visualization
Last synced: 10 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/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/dipto1971/statistical-analysis-data-science
Statistical Analysis in Data Science
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https://github.com/3rd-son/knn-breast-cancer-prediction-model-
A breast cancer prediction model using KNN with an accuracy of 96%
jupyter-notebook knn-classifier matplotlib numpy pandas python scikit-learn scipy search
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https://github.com/mattdelaune/ecommerce_market_basket_analysis
This repository includes a Market Basket Analysis (MBA) project with advanced data cleaning and a Power BI dashboard. It identifies top revenue-driving item pairs, their impact on CLV and ATV, and offers insights for optimized product bundling and revenue growth.
anaconda git google-docs jupyter-notebook kaggle-api numpy pandas postgresql powerbi psql random sql sql-magic sqlalchemy vscode
Last synced: 26 Feb 2026
https://github.com/octcarp-courses/sustech_cs303-ai_f23_works
(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.
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https://github.com/fatma-moanes/deep-learning-labs
My implementation for the labs of the Neural Networks and Deep Learning course that I studied at my university, Zewail City.
classification cnn data-science deep-learning gan keras matplotlib neural-network-architectures neural-networks numpy pandas preprocessing python regression-models regularization seaborn tensorflow time-series-analysis
Last synced: 14 Apr 2026
https://github.com/nemeslaszlo/sale-price-of-bulldozers
The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)
matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn
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https://github.com/rooneyrulz/movie-recommender-system
Movie recommendation system using Machine learning
cosine-similarity jupyer-notebook machine-learning movie-recomendation-system numpy pandas python3 recomender-system vectorization
Last synced: 11 Apr 2026
https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression
This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.
curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split
Last synced: 10 Apr 2026
https://github.com/yangeorget/clustering-algorithms
K-means and C-means experiments with Numpy
clustering clustering-algorithm numpy
Last synced: 02 Apr 2026
https://github.com/hamidhosen42/a-graph-machine-learning
Graph-Machine-Learning. Graph Machine Learning provides a new set of tools for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks.
ipynb-jupyter-notebook machine-learning-algorithms mathplotlib numpy pandas python sklearn-library
Last synced: 09 Feb 2026
https://github.com/rishabhmathur06/imagecompressor-using-cnn
cnn computer machine-learning numpy tensorflow
Last synced: 15 Apr 2026
https://github.com/serratotech/python3-for-finance
Investment fundamentals & data analytics exercises
anaconda conda data-analytics finance ipynb jupyter-notebook numpy pandas python python3 python35
Last synced: 12 Apr 2026
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
Last synced: 24 Feb 2026
https://github.com/amirhnajafiz-university/s7dc01
Final project of Data Communications course
data-communication matplotlib modulation numpy python scipy signal signal-processing
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https://github.com/animesh-ghosh/summer-training
Work done during Summer Training with OSAHub.
anaconda jupyter-notebook machine-learning numpy pandas python3 scikit-learn
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https://github.com/felixcharotte/housepredictions_tatahousing
Data science project of real estate price prediction website, deployed using a Flask server on AWS, incorporating machine learning for price prediction and a UX HTML/CSS/JavaScript for website building.
aws flask jupyter linear-regression numpy pandas python
Last synced: 09 Feb 2026
https://github.com/rahatmoktadir03/market-anomaly-detection
This AI-engineering project involves building a machine learning model to classify financial market conditions and detect potential market crashes. It includes developing investment strategies based on the model’s predictions and designing an AI-driven bot to explain the results to end users.
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Last synced: 09 Feb 2026
https://github.com/mohd-faizy/learn_numpy
NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.
array-manipulations numpy numpy-arrays numpy-matrix numpy-neural-network numpy-python numpy-tutorial
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https://github.com/carrington-115/ppt-generator-from-excel
PPT Generator for Excel file
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https://github.com/cyberoctane29/unicorn-companies-analysis
This project explores unicorn companies, private startups valued at over $1 billion, using Python for data analysis. It covers industry trends, geographic distribution, and investment patterns through EDA, including data cleaning, handling missing values, datetime transformations, and visualizations to uncover key insights.
data-analysis eda numpy pandas python
Last synced: 02 May 2026
https://github.com/kimpro82/myinvestmentmodules
Someday these will be an integrated trading system, but not now. So I am sad.
investment monte-carlo-simulation numpy python r vba xing-api
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https://github.com/nishkarsh25/end_to_end_real_estate_price_prediction_project
This data science project series walks through step by step process of how to build a real estate price prediction website. We will first build a model using sklearn and linear regression using banglore home prices dataset from kaggle.com. Second step would be to write a python flask server that uses the saved model to serve http requests....
css html javascript jupyter-notebook matplotlib numpy pandas python python-flask-server sklearn
Last synced: 07 Apr 2026
https://github.com/aarryasutar/hate_speech_detection
This project aims to detect hate speech on Twitter using advanced NLP and machine learning techniques, exploring feature extraction methods like TF-IDF and sentiment analysis, and evaluating models such as Logistic Regression and SVM.
confusion-matrix doc2vec gensim logistic-regression matplotlib naive-bayes nltk numpy pandas python random-forest scikit-learn seaborn stemming stopwords-removal svm tf-idf-vectorizer tokenization vader word-cloud
Last synced: 09 Apr 2026
https://github.com/w86763777/numpynet
A simple Deep Learning framework powered by numpy.
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Last synced: 11 Feb 2026
https://github.com/vineet416/eda-travel
EDA Travel data by PW Skills Data Analytics Course.
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https://github.com/ryantusi/ai_ml_fundamentals
Welcome to my GitHub repository showcasing projects completed during the AI/ML Foundation course from Codecademy. This repository contains a collection of projects that demonstrate my skills and knowledge in the field of artificial intelligence and machine learning.
artificial-intelligence data-science data-visualization exploratory-data-analysis foundation machine-learning numpy pandas python
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https://github.com/da-luce/cornell-autobike
Codebase of the Cornell Autonomous Bicycle Team
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https://github.com/briankopp/fewerbytes
compress numpy arrays. binary and numeric techniques for numpy compression
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https://github.com/ikaushikpal/ml_prerequisite
In this repository, I'm just practicing the basics of data visualizing and data clearing, thanks for checking my repo
jupyter-notebook matplotlib numpy pandas python
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https://github.com/chandadiya2004/mnist-digit-classification
This repository demonstrates MNIST digit classification using deep learning. It includes a neural network model built with frameworks like TensorFlow to classify handwritten digits (0-9) from the MNIST dataset. The project covers data loading, preprocessing, model training, evaluation, and accuracy visualization.
confusion-matrix cv2 google-colab-patches keras matplotlib-pyplot numpy pillow python seaborn tensorflow
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Python Script to view large image using scroll bars.
cv2 large-image large-image-preview numpy python3 tkinter
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https://github.com/mnitin-reddy/reducing-review-overhead-with-ml-based-application-screening
A machine learning classification project to filter out low-probability visa applications using historical data. It features an end-to-end implementation with CI/CD on AWS, achieving 93% accuracy with a KNN model optimized through Optuna, alongside integration of MLOps tools like Evidently and MLflow.
aws docker githubactions hypothesistesting machinelearning matplotlib mlflow mlops mongodb numpy optuna pandas python scikit-learn seaborn
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https://github.com/ladityagogoi/shadowguard
The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices
css flask html javascript joblib numpy pandas python scikit-learn
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https://github.com/nirmalyabag20/crop-yield-prediction-using-machine-learning
This project uses machine learning to predict crop yields based on factors like region, crop type, rainfall, temperature, and pesticide use. By analyzing a dataset of over 28,000 records, the models provide accurate yield forecasts, helping optimize farming decisions and resource management, ultimately contributing to sustainable agriculture.
jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/mgobeaalcoba/pandas_y_numpy
Trabajos realizados con estas librerías de Python para manejo de datos.
data-analysis data-science dataset numpy pandas python
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https://github.com/shanmukhsrisaivedullapalli/cifar10
This project uses TensorFlow to classify images from the CIFAR-10 dataset. It compares the performance of an Artificial Neural Network (ANN) and a Convolutional Neural Network (CNN), covering data preprocessing, model training, evaluation, and prediction on new images.
cifar10-classification cnn-classification matplotlib neural-networks numpy pickle pillow python3 tensorflow
Last synced: 03 Feb 2026
https://github.com/nirmalnishant645/attendance-system
Automated Attendance System using Facial Recognition in Python
attendance-system cv cv2 face-recognition facial-recognition haar-cascade haar-cascade-classifier machine-learning numpy opencv opencv-python pandas python python-3 python3 sql sqlite sqlite3 tkinter tkinter-gui
Last synced: 15 Apr 2026
https://github.com/nirmalyabag20/breast-cancer-prediction-using-machine-learning
This project leverages machine learning to classify breast cancer as malignant or benign based on tumor characteristics. By applying and evaluating multiple algorithms, the model achieves high accuracy, demonstrating the practical application of data-driven solutions in medical diagnostics.
logistic-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 12 Feb 2026
https://github.com/parneet-sandhu/virtual-try-on
This project uses OpenCV, Mediapipe, and NumPy to create an interactive virtual try-on experience. The application overlays a virtual accessory (e.g., glasses) onto the user's face using webcam input and allows users to control the brightness of the camera feed and capture screenshots using hand gestures.
computer-vision mediapipe numpy opencv python tkinter
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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.
data-science data-visualization deep-learning machine-learning matplotlib numpy python scikit-learn
Last synced: 28 Apr 2026
https://github.com/shanmukhsrisaivedullapalli/smsspamclassification
SMSSpamClassification is a machine learning project aimed at accurately classifying SMS messages as either spam or ham (non-spam). It employs natural language processing techniques to extract relevant features from the text data and utilizes various classification algorithms to build a robust spam detection model.
jupyter-notebook numpy pandas pickle python3 sklearn spam-classification spam-detection
Last synced: 11 Apr 2026
https://github.com/awrsha/principal-component-analysis
Dimension reduction in Python
image-processing matplotlib numpy pillow python
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https://github.com/anandarauf/wifu-detection
Machine Learning Wifu Detection from Dataset Anime and Manga
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https://github.com/moinak-majumdar/fake-currency-detection
Indian fake currency detecting mobile application.
cnn deep-learning flutter getx keras machine-learning mobile-app neural-network numpy random-forest scikit-learn support-vector-machines tensorflow
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https://github.com/lexxai/goit_python_ds_hw_08
Модуль 8. Глибоке навчання. Tensorflow.
classification data-science matplotlib minst numpy pandas python sklearn tensorflow
Last synced: 14 Apr 2026
https://github.com/hpennington/mono-visual-odometry
Monocular Visual Odometry in NumPy
computer-vision numpy opencv python
Last synced: 28 Apr 2026
https://github.com/kishlayjeet/zomato-data-exploration
In this project, we will be exploring a dataset containing information on various restaurants and their ratings, location, and other attributes.
data-analysis eda matplotlib numpy pandas zomato-data-exploration
Last synced: 10 Apr 2026
https://github.com/harshita2234/breast-cancer-prediction
A machine learning project to predict breast cancer using logistic regression. This project includes data preprocessing, feature scaling, model training, and evaluation, based on a guided project from Coursera.
breast-cancer-prediction jupyter-notebook logistic-regression machine-learning matplotlib numpy pandas scikit-learn
Last synced: 12 Apr 2026
https://github.com/listiangr/play_tennis_classification
This project analyzes weather data to predict whether a person will play tennis or not. The main goal is to make accurate predictions based on factors such as weather, temperature, humidity, and wind.
classification flask html-css jupyter-notebook kaggle-dataset naive-bayes numpy pandas pickle play-tennis python sklearn
Last synced: 11 Apr 2026
https://github.com/aarryasutar/pipe_leak_estimation_predictor_model
The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference
bayesian-networks cpd csv dag data-frames inference model-verification numpy pandas pgmpy pressure-sensors probabilistic-graphical-models probability python variable-elimination-algorithm
Last synced: 15 Apr 2026
https://github.com/harmanveer-2546/diabetes-prediction-using-machine-learning
Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.
adaboost decision-trees gradient-boosting-classifier gridsearchcv knn-classification machine-learning numpy os pandas pickle python random-forest seaborn svc-model
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https://github.com/matx64/rs-netbot
Old School Runescape bot with CNN for object identification
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https://github.com/the-developer-306/house-price-predictor
House Price Predictor: Harnessing machine learning algorithms to forecast housing prices in Boston, empowering buyers and sellers with accurate predictions based on key factors like location, crime rate, rooms, accessibility, and more.
csv ipynb-jupyter-notebook joblib matplotlib numpy pandas python scikit-learn
Last synced: 23 Feb 2026
https://github.com/fayzi-dev/machin_learning
Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)
algorithms artificial-neural-networks logistic-regression machine-learning matplotlib matplotlib-pyplot naive-bayes-classifier numpy pandas python python3 seaborn seaborn-plots sklearn sklearn-knn sklearn-library sklearn-linear-model sklearn-linear-regression sklearn-metrics sklearn-svm
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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/hq969/customer-churn-prediction-with-hyperparameter-optimization-and-model-deployment
A complete end-to-end machine learning project that predicts customer churn using the Telco dataset. It includes data preprocessing, exploratory data analysis (EDA), model training with Random Forest, hyperparameter tuning, evaluation, and deployment via a Flask API.
flask numpy pandas python scikit-learn xgboost
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https://github.com/neurodivergent-dev/3d-fractal-explorer
Interactive 3D visualization tool for exploring the mesmerizing world of Mandelbrot and Julia fractals. Built with Python, OpenGL and PyQt5, offering real-time animation and intuitive controls.
3d-graphics complex-numbers computer-graphics data-visualization educational fractal graphics-programming interactive julia-set mandelbrot math-visualization mathematical-art mathematics numpy opengl pyqt pyqt5 python scientific-visualization visualization
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This is for my all machine learning code
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Interactive quantum circuit simulator
diagrams-as-code mathematics numpy quantum-computing tkinter-gui
Last synced: 29 May 2026
https://github.com/princeofpuppers/qbot
A Domain-Specific Programming Language for Analyzing Quantum Algorithms
esoteric-language numpy probabilistic-programming quantum-computing quantum-programming-language
Last synced: 28 Apr 2026
https://github.com/chriszethird/image-recognition-without-neural-network
After working on a end year project for University, showcasing the better energetic efficiency of Neuromorphic comparing two programs, I've decided to improve my second algorithm. You'll find 3 files of codes : the main programm, the calculation of its accuracy and the test on the MNIST data-base.
numpy python recognizing-handwritten-digits
Last synced: 06 Feb 2026
https://github.com/duoan/machine-learning-notebook
A notebook repository for tracking learning machine learning notebook.
data-analysis decision-tree ensemble-model gbdt machine-learning numpy pandas xgboost
Last synced: 18 Jun 2026
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/m-aadhi/game-review-sentiment-analysis
This project aims to analyze and predict the sentiment of game reviews using natural language processing (NLP) and machine learning techniques. The objective is to determine whether a review is positive, negative, or neutral based on its content.
matplotlib numpy pandas-library python
Last synced: 19 Jun 2026
https://github.com/alicankaya192/deep_learning_path
Sıfırdan ileri seviyeye Deep Learning yol haritası. 11 modül: PDF + Python + Jupyter Notebook. NumPy · TensorFlow · PyTorch karşılaştırmalı implementasyonlar.
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Last synced: 21 Jun 2026
https://github.com/ananas1kexe/clap-to-rickroll
A Python-based utility that detects double claps via microphone to automate system actions. It forces volume to 100% via ALSA and triggers a multi-tab browser prank. Uses NumPy for real-time acoustic sharpness analysis.
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https://github.com/k-ibadullaev/py-ssa-lib
Py-SSA-Lib: Python implementation of the multichannel singular spectrum analysis (MSSA) and singular spectrum analysis (SSA)
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https://github.com/abhishekayu/football-detection-in-python
Football Detection in Python 10 line of Code
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https://github.com/heisenberg141/deep-learning-from-scratch
In this repository, I have showcased implementation of deep learning methodologies and architectures using Python and Numpy
algorithms binary-classification computer-vision data-science deep-learning deep-neural-networks implementation machine-learning multi-class-classification neural-network numpy python regression-models
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https://github.com/earth-app/doc2lora
Generate LoRA Adapters from documents
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https://github.com/swamikannan/neural-network-from-scratch-numpy
Creating a basic NN from scratch to detect numbers from the MNIST dataset using Numpy
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https://github.com/rafinhadufluxo/calculonumerico
Trabalhos de Cálculo Numérico UFFS 📐📊
calculate-numbers exercices matematica mathematical-modelling matplotlib-figures numpy python3 student
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https://github.com/prakhar-002/pandas-numpy
This repo covers NumPy & Pandas basics! ⚡ NumPy 🧮 for arrays & math operations, 🐼 Pandas 📊 for data handling with DataFrames & Series. 🚀 Includes practical examples 📝 for efficient data processing! 🔥
basics-of-python numpy pandas pandas-dataframe python-library python3
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https://github.com/michaelfeil/lstm-dlnn2020
Character-LSTM implementation in Numpy
lstm nlp-machine-learning numpy
Last synced: 14 May 2026
