Name: Geoffrey Porto
Type: User
Company: Neuraliza.ai
Bio: Head of Engineering at Afirme | AI Engineer (Rust/Julia/AWS) | MSc in Artificial Intelligence | MSc in Expert Systems | PhD student in Mechatronics
Twitter: geoffreyporto
Location: Monterrey, N.L, México
Blog: https://www.neuraliza.ai
Geoffrey Porto's Projects
Slide decks with editable source files
open sourced version of smitten kitchen app. built with react native
Flutter plugin to provide SMS code autofill support
SMSAPP con Google Firebase Crashlytcs, Analytics y Performance
Generates analysis reports from SonarQube web API.
SonarQube plugin for identifying hardcoded secrets, such as passwords, API keys, AWS credentials, etc..
Elixir SortedSet backed by a Rust-based NIF
React Native SoundCloud Replica Animation + Navigation
Robust SPEI transaction processor
In this code we demonstrate how a simple Spring Boot application can be deployed on top of Kubernetes. This application, Office Space, mimicks the fictitious app idea from Michael Bolton in the movie "Office Space".
A Free Responsive Admin Dashboard Template Built With Bootstrap 4. Elegant UI Theme for Your Web App!
An app where anyone can join with Spotify credentials and see a lot of cool statistics about his/her profile
Microservice with API for translating step texts and materials
Storj Mobile Apps
📓 Interactive development & testing environment for React and React-Native UI components
Python client library for STP (stpmex.com)
To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory available in current GPUs, this limits the maximum dimensions of the input data. Here we demonstrate a method to train convolutional neural networks while holding only parts of the image in memory.
Example Streamlit app that you can fork to test out share.streamlit.io
The code and data for "StructGPT: A general framework for Large Language Model to Reason on Structured Data"
Parse command line arguments by defining a struct.
StyleGAN - Official TensorFlow Implementation
Substrate: The platform for blockchain innovators
Mobile app for sunapsis Conference 2018(http://sunapsis.iu.edu/2018conference.html), made with Flutter.
A gardening app illustrating Android development best practices with Android Jetpack.