Name: Xavier Aguas
Type: User
Company: @jrtec-io @Ten5-Inc @SolarTeam2020
Bio: I'm a passionate UI/UX designer and conversational assistant expert who wants to contribute to humanity by creating beautiful experiences that make people happy
Location: Quito-Ecuador
Blog: www.xavieraguas.com
Xavier Aguas's Projects
This is an example of Artificial Neural Network using MNIST handwritten dataset in Matlab
Este es el trabajo final del curso de python. Aplicar librerias básicas para leer y presentar gráficos a través de pandas y matplolib
This is a repository that shows how to use entities through the rasa framework. This application is a pokemon finder.
This an example of how to use class in Matlab
These are some examples of data analysis for a company through different machine learning methods
This is an example for docker with 3 Wordpress sites
Conversational assistant capable of accompanying the client throughout the clothing discovery process
Contextual-Assitant-Rasa
conversational assistant capable of accompanying the client throughout the clothing discovery process.
This is a little tutorial to use React-Flow. This library is for building node-based editors and diagrams
This is a project template which uses FastAPI, Alembic and async SQLModel as ORM. It shows a complete async CRUD using authentication and role base access control.
Implementing a Neural Network from Scratch in Python
This is a program which allow to recognize six type of hand motions
This is the home of Geo Open Accessibility Tool (GOAT)
This repository was created to show some of the functionalities that Arkit provides us for the development of virtual reality and augmented reality applications.
They are some examples to manage data with PANDAS
Change .mat file to json EMG data signals
It is a very interesting repo where three technologies are combined for data analysis and visualization. To carry out this small project, Mongo DB is used for databases, PySpark was used to create ETLs (Extract, Transform, Loading) and Tableau for data visualization.
how you can use Keras to develop and evaluate neural network models for multi-class classification problems.
Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio.