Self hosted web analytics for endurance athletes
This app integrates the Segment Anything Model (SAM) with Sentinel-2 data. The app is built using Dash Plotly and dash leaflet. It allows segmenting satellite images using the two ways provided by SAM: automatic mask generator and prompt segmentation (using points and bounding boxes).
A step-by-step guide for deploying your Dash application on Render
Summary of 'genomic analysis' conducted at the Right Information company. Code for our portfolio page.
Connect gpus with your eyes.
Using batman-adv to connect several raspberrypi to a mesh network and creating a vernemq cluster
A dashboard for helping beginners identify trading opportunities through technical analysis, fundamental analysis, and possible future projections.
Sentiment analysis for tweets written in Portuguese-Brazil
A complete stack for running a Docker container with Python 3.8 and all the necesary dependencies for Dash Plotly with GUnicorn as HTTP Server.
Interactive web app for analyzing stock market data and managing custom portfolios.
This is a web application to visualize various famous technical indicators and stocks tickers from user
Dashboards em Python, aplicação como Power BI
Simulation model to run scenarios on staffing/operations readiness for a call center
Dash web app for binary classification model selection
A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.
Dash App - Simulation of double pendulum equations of motion
This is a Web Application meant for interactively visualizing the K-means clustering algorithm. The purpose is to showcase the strengths and limitations of the method under different settings (data shape, size, number of clusters, number of centroids, initialization method etc.).
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