An open API service indexing awesome lists of open source software.

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.

https://github.com/manjillama/machine-learning-101

Introduction to machine learning, conda environment, Jupyter Notebook, Pandas, NumPy and Matplotlib.

conda-environment jupyter-notebook machine-learning matplotlib numpy pandas python

Last synced: 13 Apr 2026

https://github.com/xaxtric7/learn-numpy

🧮 Welcome to my NumPy Practice repository! This repo contains my hands-on learning, notes, and code experiments as I dive into the fundamentals and advanced features of NumPy – a powerful library for numerical computing with Python.

numpy pyrhon3

Last synced: 15 May 2026

https://github.com/sarah-ribeiro/curso-pandas-alura

A comprehensive project comprising numerous exercises developed within an Alura course focused on Pandas.

jupyter-notebook matplotlib numpy pandas python

Last synced: 01 Aug 2025

https://github.com/athul64/exploratory-data-analysis

To preprocess and analyze the given employee dataset, present the findings graphically, and derive meaningful insights to help better understand the company’s workforce.

colab-notebook data-analysis data-visualization matplotlib numpy pandas python seaborn statistical-analysis

Last synced: 25 Feb 2026

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

Last synced: 13 Apr 2026

https://github.com/ayaanjawaid/vizualite

Vizualite allows you to upload dataset and clearly view the attributes and allows you to create vizualizations, you can also download dataset.

matplotlib numpy pandas python3 streamlit

Last synced: 09 Apr 2026

https://github.com/bessarodrigo/dataviz_sales_retail

Este projeto apresenta um mosaico com o Matplotlib com um retrato do desempenho das vendas de uma empresa de varejo.

matplotlib numpy pandas python python3

Last synced: 09 Apr 2026

https://github.com/harmanveer-2546/dust-detection-on-solar-panel-using

The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.

classification dirty inceptionv3-model keras numpy pandas plotly python regularizer sequential solar-panels tensorflow visualization

Last synced: 13 Apr 2026

https://github.com/docsallover/spam-detection

Building a Spam Filter with Python: Using Machine Learning to Combat Spam

datascience flask jinja2 machine-learning numpy numpy-library pandas pandas-python python python3 scikit-learn

Last synced: 09 Apr 2026

https://github.com/vidhi1290/hr_employee_prediction

"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.

data-exploration data-science data-visualization docker hr-employee-prediction hyperparameter-tuning machine-learning matplot model-building numpy pandas scikit-learn seaborn streamlit streamlit-webapp

Last synced: 13 Apr 2026

https://github.com/adinack/chemistry-equation-balancer

A small python tool that can solve n-dimensional balancing equations.

chemistry matrices numpy sympy

Last synced: 16 May 2026

https://github.com/theanujsinha01/customer-segmentation-using-k-means-clustering

This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters

jupyter-notebook k-means-clustering machine-learning matplotlib numpy pandas python seaborn streamlit unsupervised-learning

Last synced: 09 Apr 2026

https://github.com/tasninanika/k-nearest_neighbors

K-Nearest Neighbors (KNN) is a simple and powerful machine learning algorithm used for classification and regression.

knn matplotlib numpy pandas python3 seaborn

Last synced: 13 Apr 2026

https://github.com/petitgrizzlies/metaheuristiques

Travaux pratiques de meta heuristique. Unige 2016-2017

cffi cpp golang heuristic-algorithm matplotlib numpy python35

Last synced: 13 Apr 2026

https://github.com/paulo-santos-ds/rotatividade_de_clientes

A operadora de comunicações InternetGO está interessada em prever a rotatividade de seus clientes (churn). Se for identificado que um usuário está planejando trocar de operadora, a empresa poderá oferecer códigos promocionais e opções de planos especiais para evitar a perda desse cliente.

catboost numpy pandas pyplot python seaborn sklearn

Last synced: 09 Apr 2026

https://github.com/shreeparab1890/movie-recommender-system

This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.

bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization

Last synced: 09 Apr 2026

https://github.com/jayanthsd2003/dms_sarathi_-driver-monitoring_system-

This is a project which can be seen on TATA Trucks and other premium edition cars based and focussed on the safety and monitoring driver Consciousness state

dlib dlib-face-detection numpy opencv-python pygame python pyttsx3 scipy

Last synced: 13 Apr 2026

https://github.com/muhammad-fiaz/gpt

A simple implementation based on the "Attention is All You Need" paper, using GPT-2 for text generation.

attention-is-all-you-need gpt gpt-2 gpt-3 gpt-implementation gpt-using-pytorch gpt2 numpy open-source paper-implementations python pytorch pytorch-implementation

Last synced: 13 Apr 2026

https://github.com/cassiofb-dev/pandasscript

Pandas Script, uma lingaguem para visualizar e gerenciar dados.

compilers lexer numpy pandas parser python

Last synced: 09 Apr 2026

https://github.com/akku-1206/zomato_scrapping

Zomato Restaurant Data Scraper This script uses Selenium to scrape restaurant information from the Zomato NCR delivery page.

chromewebdriver numpy pandas python selenium

Last synced: 04 May 2026

https://github.com/ngirimana/decision-trees-and-random-forest-

For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).

artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn

Last synced: 11 Apr 2026

https://github.com/bestmahdi2/uni__pythonsupportvectormachinesbinaryclassification

A university project in which the binary classification of support vector machines is implemented with Python language

binary-classification classification matplotlib numpy python scikit-image scikit-learn seaborn support-vector-machine svm

Last synced: 07 Apr 2026

https://github.com/anvesham/machinelearning_models_using_matlab

Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers

bagging-ensemble bayesian-optimization decision-trees jupyter-notebook machine-learning matlab multiple-linear-regression-model numpy python random-forest-regression

Last synced: 11 Apr 2026

https://github.com/uea-geral/rna-perceptron-exercise

🤖Disciplina de RNA: treinamento de um neurônio Perceptron.

jupyter-notebook neural-network numpy perceptron python scikit-learn

Last synced: 13 Apr 2026

https://github.com/2000pawan/data_science.

Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.

data-science machine-learning matplotlib numpy pandas powerbi seaborn statistics webscraping

Last synced: 18 Dec 2025

https://github.com/abhinav330/data-science-projects

The Data Science Projects folder contains various projects related to data analysis, machine learning, and exploratory data analysis (EDA). Each project focuses on a specific dataset and utilizes different techniques and algorithms to extract insights and make predictions.

decision-trees exploratory-data-analysis k-means-clustering k-nearest-neighbours kaggle linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly python random-forest-classifier support-vector-machines

Last synced: 30 May 2026

https://github.com/bhargav-joshi/img-caption-generator

Automatically creating the description or caption of an image using any natural language sentences is a very challenging task. It requires both methods from computer vision to understand the content of the image and a language model from the field of natural language processing to turn the understanding of the image into words in the right order. In addition to that we have discussed how this model can be implemented on web and will be accessible for end user as well.

flask jupyter-notebook keras machine-learning nlp nltk numpy pandas python tensorflow

Last synced: 09 Apr 2026

https://github.com/gauravsakure02/python_libraries

Data Analysis using Python libraries

matplotlib numpy pandas-library streamlit

Last synced: 14 Apr 2026

https://github.com/arjunan-k/netflix_analysis

Exploratory Data Analysis on Netflix Movies & TV Shows.

matplotlib numpy pandas plotly seaborn

Last synced: 09 May 2026

https://github.com/abhinavsharma07/neural-network-using_numpy

Introduction to Neural Networks (Create a neural network using Numpy)

accuracy feed-forward model neural-networks numpy prediction

Last synced: 18 Jan 2026

https://github.com/yash-rewalia/stock-closing-price-prediction-using-regression

The ultimate business objective is to leverage the regression model to provide accurate predictions of the closing price of AMRN stock, enabling stakeholders to make well-informed investment decisions, manage risks effectively, optimize portfolios, Early warning systems to alert any fraud cases and align investment strategies with financial goals.

datapreprocessing eda hypothesis-testing machine-learning numpy pandas python random-forest regression regression-analysis statistics

Last synced: 12 Apr 2026

https://github.com/nicolau-369/jupyter

Treinamento Para Análise de Dados.

big-data jupyter jupyter-notebook matplotlib numpy pandas python python3

Last synced: 19 Mar 2025

https://github.com/shoaib-programmer/pychemicals

Python library designed for chemical calculations like pH, and titrations. It also includes other features like interactive graph plotting.

chemicals matplotlib numpy pyplot python3 titration titration-curve

Last synced: 19 Mar 2025

https://github.com/raghavendranhp/waiter_tip_prediction

The "Waiter Tips Prediction Model" is a machine learning tool that forecasts waiter tips based on factors like the total bill, customer demographics, and dining specifics. It assists waitstaff and restaurants in understanding and estimating tipping patterns

eda numpy pandas plotly-express plotly-graph-objects python sklearn

Last synced: 06 Apr 2026

https://github.com/rish-16/linearly

Discount NumPu implementation using barebones Linear Algebra concepts

linear-algebra numpy

Last synced: 19 May 2026

https://github.com/jabhij/eda_experiments

In this repo I'll use different types of datasets to explore and implement various Exploratory Data Analysis (EDA) approaches.

ames-housing analysis battery-life blackfriday-analysis data-analysis data-science data-visualization eda matplotlib-pyplot numpy pandas python seaborn visualization zomato-data-analysis

Last synced: 14 Apr 2026

https://github.com/vicperal/ai-genai_projects

Python projects about LLM and ML use cases. I am using modules such as Pandas, Numpy, Plotly, scikit-learn, Transformers, Flask, JSON, etc. to analyze data, predict, generate insights and create text from models such as LLMs, linear regression, assembly methods, etc. Server- Front-End using Flask

assembly clinical-trials flask json linear-regression llm ml numpy pandas plotly price-prediction python rag random-forest scikit-learn sentimental-analysis sql text-summarization tokens-counter transformers

Last synced: 02 Apr 2026

https://github.com/paulo-santos-ds/desenvolvimento_pocos_petroleo

Este projeto tem como objetivo desenvolver um modelo que possa prever o melhor local para a perfuração de poços de petróleo. Utilizando modelo de Machine Learning para poder prever o lucro de cada poço.

math matplotlib-pyplot numpy pandas python3 sklearn

Last synced: 09 Apr 2026

https://github.com/bl33h/relations

A program for relation analysis and matrix operations using numpy. It determines relation types and performs matrix computations.

discrete-mathematics matrix matrix-operations numpy python relations

Last synced: 15 May 2026

https://github.com/smusab9152/pokemon_data_analysis

This repo that explores and analyzes a dataset of Pokémon attributes. The analysis includes data cleaning, exploratory data analysis (EDA), and visualizations .

analytics data-analysis data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas pokemon python seaborn statistical-analysis

Last synced: 02 May 2026

https://github.com/ejw-data/proj-nba-eda

NBA exploratory data analysis project with Pandas and Tableau

nba numpy pandas python tableau

Last synced: 14 Apr 2026

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

Last synced: 14 Apr 2026

https://github.com/kwanit1142/sars-cov-2-detection-radiology-based-multi-modal-multi-task-framework

Keras-based Implementation for "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework" (Accepted in 45th IEEE EMBC 2k23)

gans keras matplotlib numpy opencv os pandas pillow scipy sklearn tensorflow transfer-learning wasserstein-distance

Last synced: 14 Apr 2026

https://github.com/hokagem/byakuganvisualizer

The ByakuganVisualizer repository hosts a Python tool designed to compare images and highlight their differences. It simplifies the process of identifying disparities between images, making it ideal for tasks like testing and quality assurance. Moreover, it offers a color filter that can be used to correct images for color-blind users.

color-blind color-correction colorblind image-manipulation numpy pillow

Last synced: 21 Jan 2026

https://github.com/alexandrbig1/py-design-analysis-algo

Advanced Python project on the design and analysis of algorithms. Includes practical modules on dynamic programming, graph theory, big data (Bloom filter, HyperLogLog), parallel computing (MapReduce), and optimization. Uses libraries like NumPy, Matplotlib, NetworkX, BTrees, PrettyTable, and Datasketch for efficient computation and visualization.

algorithms asyncio git heapq matplotlib numpy python python3 turtle

Last synced: 09 Apr 2026

https://github.com/cesarmartinez7/anchorports

Escaneador de puertos hecho en python con la libreria de nmap-python y Scapy.

arp colorama-librairy nmap numpy pyfiglet python python-nmap scapy-library

Last synced: 18 May 2026

https://github.com/bursasha/deeplearningai-machine-learning-tensorflow-course

Projects and certificates from a machine learning course focused on TensorFlow and Keras, covering neural networks, CNNs, NLP, and time series analysis 🧠

convolutional-neural-networks deeplearning-ai keras machine-learning mlcourse natural-language-processing neural-networks numpy pandas python-machine-learning recurrent-neural-networks tensorflow

Last synced: 10 Apr 2026

https://github.com/rixiiz/using-knn-to-predict-the-obp-of-mlb-players

Using KNN to predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season

artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning

Last synced: 05 Apr 2026

https://github.com/ashishpatel8736/soq-solver-cramer

This project is a System of Equations Solver built using Cramer's Rule in Python with Streamlit. It allows users to input and solve systems of linear equations in real-time by visualizing them as matrices and generating solutions for variables 𝑥 , 𝑦 , 𝑧, etc.

numpy python streamlit

Last synced: 14 Apr 2026

https://github.com/zazi2002/neuroscience-project-cnn

This project is part of the Neuroscience of Learning, Memory, Cognition course and focuses on the visual processing pathways in the brain, particularly the dorsal and ventral streams.

cnn-for-visual-recognition learning matplotlib numpy scipy visual-processing

Last synced: 09 May 2026

https://github.com/nomadsdev/financial-trend-analyzer

FinancialTrendAnalyzer helps analyze and visualize sales data to uncover financial trends. It uses Python to calculate total sales, track changes, and generate insightful charts for better decision-making.

business-intelligence data-analysis data-visualization financial-analysis matplotlib numpy pandas python revenue-trends sales-data seaborn time-series-analysis

Last synced: 19 Jan 2026

https://github.com/bl0nder/regressify

A multi-task neural network coded from scratch that performs simultaneous regression and classification.

classification deep-learning multitask-learning neural-networks numpy regression

Last synced: 15 May 2026

https://github.com/harmanveer-2546/heart-failure-prediction

Heart failure is a severe condition in which the heart is unable to pump blood effectively. Early prediction of heart failure can significantly improve patient outcomes. This project aims to build a predictive model using machine learning techniques to identify patients at risk of heart failure.

exploratory-data-analysis feature-engineering jupyter-notebook matplotlib model-training-and-evaluation numpy pandas python sckiit-learn seaborn visualization-of-results

Last synced: 14 Apr 2026

https://github.com/faizantkhan/regression-project-bangalore-property-price-prediction

🏠 Bangalore Property Price Prediction is a comprehensive project designed to accurately predict property prices in Bangalore. Leveraging advanced regression techniques and a dataset sourced from Kaggle, the model undergoes meticulous feature engineering, data cleaning, and parameter tuning to ensure high accuracy.

backend-api css data-cleaning data-science data-visualization eda flask html javascript machine-learning-algorithms numpy pandas project project-repository property python regression-models server

Last synced: 14 Apr 2026

https://github.com/4thel00z/numpy-serializer

numpy-serializer is a nice and high-level way to serialize numpy.arrays while preserving their shape and type.

bytes deserialization deserialize deserializer msgpack numpy raw serialize serializer serializers

Last synced: 27 Jan 2026

https://github.com/antoniotejada/imageviewer

Simple but featured image viewer, designed for speed when browsing network drives and on low power computers like Raspberry Pi 2

image-processing image-processing-python image-viewer image-viewing imageviewer irfanview linux linux-app lxde numpy pyqt pyqt5 python python2 python27 qt qt5 raspberry-pi raspbian windows

Last synced: 22 Jan 2026

https://github.com/l-johnston/microohm

SI unit system in Numpy as native dtype

numpy python units

Last synced: 24 Feb 2026

https://github.com/brpy/100-prisoners-problem

Simulation of 100 Prisoners Problem using Python

numpy python simulation veritasium

Last synced: 14 Apr 2026

https://github.com/vineet416/chronic-kidney-disease-prediction

This repository contain code of Chronic Kidney Disease Detection Prediction Project. The goal of this project is predict the chronic kidney disease using parameters like Diabetes Mellitus, Blood Urea, Sugar, Hypertension etc.. I used multiple machine learning algorithms with hyperparameter tuning which is having highest accuracy score of 97.5

data-visualization data-wrangling exploratory-data-analysis feature-engineering feature-selection hyperparameter-tuning machine-learning matplotlib numpy pandas plotly pre-processing python seaborn sklearn-library statsmodels

Last synced: 14 Apr 2026

https://github.com/nirmalyabag20/wine-quality-prediction-machine-learning

This project analyzes the chemical properties of wines to identify key factors influencing quality. By leveraging machine learning techniques, i aim to develop predictive models that accurately classify wine quality, providing valuable insights for producers and enthusiasts alike.

k-neighbors-classifier logistic-regression machine-learning matplotlib numpy pandas python random-forest seaborn svc

Last synced: 09 Apr 2026

https://github.com/prashver/salary-prediction-on-scraped-data

This tool predicts data science salaries by scraping Glassdoor job descriptions. Features quantify company valuation of key skills. Regression models include Multiple Linear Regression, Lasso Regression, and Random Forest. Random Forest outperformed others. Technologies/libraries used: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.

data-scraping machine-learning-algorithms matplotlib numpy pandas regression-models salary-estimator seaborn selenium selenium-webdriver

Last synced: 06 Apr 2026

https://github.com/anfany/python3-practice

基于Python3的多种工具实例代码、以及流行库的使用贴士

matplotlib numpy pandas python3 tensorflow tips

Last synced: 04 May 2026

https://github.com/ki3mono/naive_bayes_classifier

This project implements Naive Bayes Classifiers for two data types: Multinomial Naive Bayes Classifier and Gaussian Naive Bayes Classifier. Developed as part of the Probability Theory and Statistics course in the second year of Computer Science at AGH University of Krakow.

iris-dataset mushroom-dataset naive-bayes-classifier numpy python scikit-learn

Last synced: 06 May 2026

https://github.com/akash-rajak/large-image-preview

Python Script to view large image using scroll bars.

cv2 large-image large-image-preview numpy python3 tkinter

Last synced: 04 May 2026

https://github.com/rayyan9477/data-driven-house-price-prediction-and-property-recommendation-app

The app leverages algorithms to accurately predict house prices and recommend similar properties based on a saved dataset through content-based filtering. It is tailored for homebuyers seeking their dream house and real estate investors looking for profitable opportunities, providing powerful insights and data-driven decision-making support.

data-science eda html machine-learning numpy pandas python scikit-learn

Last synced: 06 Apr 2026

https://github.com/dulajkavinda/live-sketching

✍️ Converting live video stream from webcam into a sketch using OpenVC and Keras

added image-filtering keras machinelearning matplotlib numpy opencv python

Last synced: 10 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/kamakshi4023/brain-tumour-detection

ML based project which uses various techniques to build a hybrid model for identifying brain tumour in MRI images

jupyter-notebook keras machine-learning ml numpy python seaborn sklearn sklearn-metrics tensorflow

Last synced: 03 Jan 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.

numpy pytorch sustech

Last synced: 24 Oct 2025

https://github.com/f1scher7/ai-tutorial

Learning neural networks by building custom implementations for various problems

machine-learning neural-networks numpy python

Last synced: 16 May 2026

https://github.com/aiboy996/npnn

NumPy Neural Network framework

autograd machine-learning neural-network numpy

Last synced: 16 May 2026

https://github.com/MITHILESHK11/Steganography-App-Aicte-Internship-Cybersecurity-Edunet-Foundation

Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.

hashlib numpy opencv3 python streamlit-webapp

Last synced: 24 Oct 2025

https://github.com/Tritonix711/FractureAI

This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.

css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics

Last synced: 19 Aug 2025

https://github.com/jilliennelapid/finalproject_group53

Final Project for COP2080. Audio Graphical software that works with mono-channel .wav files and plots them in various ways.

matplotlib numpy pydub python scipy tkinter

Last synced: 14 Apr 2026

https://github.com/a3ro-dev/weather-prediction-application

a weather prediction application built using Streamlit. The application predicts future temperatures and weather types based on past trends. It provides a sleek and intuitive user interface for input and displays the predictions dynamically.

charts mathematics matplotlib numpy plotting python python3 streamlit weather weather-app weather-forecast weatherprediction webapp

Last synced: 06 Feb 2026

https://github.com/socaity/media-toolkit

Web-ready standardized file processing and serialization. Read, write, convert and send files. Including image, audio, video and any other file. Easily convert between numpy, base64, bytes and more.

base64 bytesio fast-task-api httpx image-processing json numpy serialization video

Last synced: 27 Oct 2025