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Mr. Rosario's Projects

moonrider icon moonrider

🌕🏄🏿 Surf the musical road among the stars. Side project built by two people in a few months to demonstrate WebXR.

motion icon motion

Open source, production-ready animation and gesture library for React

moya icon moya

Network abstraction layer written in Swift.

mrtk-quest icon mrtk-quest

MRTK-Quest: Mixed Reality Toolkit (MRTK) extension bridge for Oculus Quest + Rift / S

mrtk-quest-sample icon mrtk-quest-sample

Sample project for setting up with MRTK-Quest. Used only for educational purposes.

mui-treasury icon mui-treasury

A collection of ready-to-use components based on Material-UI

multi-container-nginx-react-node-mongo icon multi-container-nginx-react-node-mongo

Multi container application with Nginx, React, Node and Mongo DB. This repository also contains Terraform IaC (Infrastructure as Code) for a CICD pipeline to build and push images to DockerHub.

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nativeweb icon nativeweb

🤳 Tiny library for simple web components. [1kB]

nativewebsocket icon nativewebsocket

🔌 WebSocket client for Unity - with no external dependencies (WebGL, Native, Android, iOS, UWP)

natural icon natural

general natural language facilities for node

neataptic icon neataptic

:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js

neo4j-timetree icon neo4j-timetree

Java and REST APIs for working with time-representing tree in Neo4j

nerjs icon nerjs

Neural Network for Named-Entity recognition for running in browser without back end

neuralchatbot icon neuralchatbot

A client side chat bot that uses tensorflow sentence embeddings for intent identification

neuralphrasex icon neuralphrasex

Mixed neural network / fuzzy similarity based phrase database matching. Uses universal sentence embeddings from Tensorflow combined with KNN and fuzzy similarity to perform slot filling based on a list of potential phrases. The approach allows for one shot learning and the efficiency will be determined by KNN (or other approximate nearest neighbor). The name "PhraseX" comes from "Regex", as it is a more flexible way of matching phrases than using regex and better suited for natural language.

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