Connect gpus with your eyes.
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Updated
May 1, 2023 - Python
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Connect gpus with your eyes.
GeoCLUSTER is a Python-based web application that provides a collection of interactive methods for streamlining the visualization of the technical and economic modeling of closed-loop geothermal systems.
Sentiment analysis for tweets written in Portuguese-Brazil
Pony documentation as Dash docset
A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.
⚡ STOCK MARKET PREDICTION is a Deep Learning based web application using LSTM model and that is used to predict the future stock prices based on 10 years historical data
Testing Dash and Plotly
My final Data Science project at Flatiron School! Using Natural Language Processing to build a classification model that predicts where you should travel based on text saying what you want to do on vacation. Includes a DASH app with an interactive interface to try the model out for yourself! Data scraped from TripAdvisor.
気象庁が公開する降水量データをDashで可視化するアプリケーション
This GitHub repository contains a comprehensive data analysis and visualization project focused on Airbnb data, implemented in Python using the Plotly Dash web framework. The project aims to provide insights and interactive visualizations to explore and analyze Airbnb data, and is presented through a web application built with Plotly Dash.
This repository demonstrates a practice project in the price forecasting field using data from a Kaggle dataset - Cryptocurrency Historical Prices.
Content-based recommender system for scientific research articles, with Dash application for browsing 100+ subdomains developed through extensive NMF topic modeling.
Deploy a Dash app in Heroku with GitHub
Covid-19 Data Analysis and Important Topics to be Covered to get the Impact and Solution.
Dash app on Render about a Dashboard for Sales and Rating Prediction
🚗 Road line detection web application using OpenCV, Amazon S3 Buckets, and SQL Database
Developed for the SDUST Pioneer Intelligent Computing 2025 competition by Team NEXUS
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