codewithpatelo
Tech worker specialised in decision analytics and R&D. Co-founder of the Argentine AI Community 'IA AR'. Researcher, speaker and Cooperativist.
Enpov
Pinned Repositories
ahp-lite
This is an implementation of AHP algorithm for multi-criteria decision-making and prescriptive analytics.
Algedonic
A cybernetic web-application that functions as an algedometer to sense community emotional states and cooperatively report problems shared by a given community of peers.
aopifyjs
Agent-oriented programming in NodeJs.
aopjs
More than a billion of the rural merchants in the developing world commonly depend on hiring on-demand transportation services to commute people or goods to markets. The process of selecting the optimal fare involves handling decision-making characterised with multiple alternatives and competing criteria. Decision support systems are commonly used to solve these types of problems. However, most widely used systems are based on object-based approaches which lack high-level abstractions needed to effectively model and scale human-machine communication. This paper reviews previous literature on the field and introduces an improved preliminary agent-based decision-support approach to overcome those challenges. As a proof of concept, we developed a two-agent simulation that, given a request from one of the agents, the other one takes a dataset of a stratified sample of 104 Ethiopian commuter criteria preferences taken from the Dukem region and an exemplary dataset of fare alternatives. The assistant agent computes those datasets using widely used HPA and TOPSIS algorithms to weight, score, rank those alternatives. Once we run the simulation, in a matter of milliseconds the assistant agent effectively returns an optimal prescription to the other agent, storing all interactions in a self-contained memory resulting in an architecture that allows developers to program further customisation as interactions scale.
APIAI-BotLibre
Simple página HTML+JS+CSS con integración de motor de lenguaje natural "API.AI" funcionando con un avatar 3D animado de BotLibre.
auctionfity_back
NFT marketplaces often use techniques for reducing transaction fees. Some of these techniques require users to use these marketplaces with an off-chain sibling system that assist the on-chain pieces. This is a simple off-chain system and the on-chain smart-contract to enable cheap auctions. The goal is to enable trades between an ERC721 and a ERC20 with a single on-chain transaction.
chrome-extension-boilerplate
Boilerplate to easily create and publish Chrome extensions. Integrated with Chai, Eslint, Mocha, Travis, Material Design Lite.
genetic_deep_learning
NewsDSS-Argentina
An automated decision-support system to analyse if an article of Argentine Media is worth based according to linguistic analysis of the text.
topsis
NPM module with an implementation of TOPSIS algorithm for multi-criteria decision-making systems.
codewithpatelo's Repositories
codewithpatelo/topsis
NPM module with an implementation of TOPSIS algorithm for multi-criteria decision-making systems.
codewithpatelo/ahp-lite
This is an implementation of AHP algorithm for multi-criteria decision-making and prescriptive analytics.
codewithpatelo/NewsDSS-Argentina
An automated decision-support system to analyse if an article of Argentine Media is worth based according to linguistic analysis of the text.
codewithpatelo/aopjs
More than a billion of the rural merchants in the developing world commonly depend on hiring on-demand transportation services to commute people or goods to markets. The process of selecting the optimal fare involves handling decision-making characterised with multiple alternatives and competing criteria. Decision support systems are commonly used to solve these types of problems. However, most widely used systems are based on object-based approaches which lack high-level abstractions needed to effectively model and scale human-machine communication. This paper reviews previous literature on the field and introduces an improved preliminary agent-based decision-support approach to overcome those challenges. As a proof of concept, we developed a two-agent simulation that, given a request from one of the agents, the other one takes a dataset of a stratified sample of 104 Ethiopian commuter criteria preferences taken from the Dukem region and an exemplary dataset of fare alternatives. The assistant agent computes those datasets using widely used HPA and TOPSIS algorithms to weight, score, rank those alternatives. Once we run the simulation, in a matter of milliseconds the assistant agent effectively returns an optimal prescription to the other agent, storing all interactions in a self-contained memory resulting in an architecture that allows developers to program further customisation as interactions scale.
codewithpatelo/aopifyjs
Agent-oriented programming in NodeJs.
codewithpatelo/chrome-extension-boilerplate
Boilerplate to easily create and publish Chrome extensions. Integrated with Chai, Eslint, Mocha, Travis, Material Design Lite.
codewithpatelo/dssCelphones
A simple implementation of AHP and TOPSIS in python to help a human selecting a phone within an array of 10k celphone options based on a given budget.
codewithpatelo/fintechCoops
A list of fintech coops
codewithpatelo/npm-package-boilerplate
Npm package boilerplate already integrated with Chai, Eslint, Istambul, Travis, Mocha, Coveralls, a readme file and function skeleton to kick start your npm package project.
codewithpatelo/Algedonic
A cybernetic web-application that functions as an algedometer to sense community emotional states and cooperatively report problems shared by a given community of peers.
codewithpatelo/auctionfity_back
NFT marketplaces often use techniques for reducing transaction fees. Some of these techniques require users to use these marketplaces with an off-chain sibling system that assist the on-chain pieces. This is a simple off-chain system and the on-chain smart-contract to enable cheap auctions. The goal is to enable trades between an ERC721 and a ERC20 with a single on-chain transaction.
codewithpatelo/genetic_deep_learning
codewithpatelo/arguman.org
〽️argument mapping platform, a django project
codewithpatelo/coopsusingblockchain
Coops or postcapitalist projects using blockchain
codewithpatelo/DATASET-noticiasFalsas
El propósito de este repositorio es generar colaborativamente un dataset con noticias falsas y/o engañosas de medios Argentinos.
codewithpatelo/dmeyf2024
Data Mining en Economia y Finanzas 2024
codewithpatelo/emailspamdetection
Trabajo Práctico Maestria de Data Mining UBA
codewithpatelo/holochain-rust
The core Holochain framework written in rust, a container API for running it (with rust and node implementations), and hdk-rust library for writing Zomes
codewithpatelo/llenalojs
Extensión de Chrome creada en 'PodemosAprender' para llenar formularios de manera automatica.
codewithpatelo/mineria_opiniones
Pieza de código de automatización robotica de procesos para mineria de opiniones sobre productos basado en la herramienta de código abierto "Kantu, UI Vision" (A su vez basado en Selenium).
codewithpatelo/PatricioJulian.github.io
codewithpatelo/podemosaprender.github.io
Sitio de PodemosAprender, para que puedan contribuir más personas
codewithpatelo/react-auctions
NestJs Back-End NexrJs Front-End Auction App
codewithpatelo/recht
A concise rule engine to express and enforce rules for selections, permissions and the like
codewithpatelo/reviewscrapper
A code that automatically extracts poor reviews from Trustpilot site for further analysis.
codewithpatelo/SoberaniaDigital
Este repositorio contiene un set curado de recursos y herramientas cuyo próposito es empoderar usuarios de tecnologías digitales en el uso responsable, analitico y ético de las mismas. (Fact checkers, tableros de información personal, detectores de noticias falsas / sesgo, etc.)
codewithpatelo/tech-coops
A list of tech coops and resources concerning tech coops and worker owned cooperatives in general.
codewithpatelo/toMatrixArray
NPM library , extension of csvtojson package to turn results into an array of matrices.
codewithpatelo/TopsisProgramacionLineal
Ejemplo Combinación de TOPSIS Difuso con Programación Lineal
codewithpatelo/TrucoAnalytics
El Truco es un juego de cartas Argentino popularmente jugado en el todo el país y el cono sur. Es un juego de estrategia competitivo basado en turnos, de estados finitos e información incompleta, lo cúal quiere decir que los jugadores basaran sus estrategias en base a especulaciones en cuanto a las cartas de los demas. En los últimos tiempos, han existido numerosos articulos cientificos implementando modelos de aprendizaje reforzado en juegos de dichas caracteristicas. No obstante, aun no hay ningun trabajo que haya analizado este particular juego Argentino. El próposito de este proyecto es analizar este juego desde un aspecto computacional para poder, luego, modelar un agente de aprendizaje reforzado. Para dicho fin, primero vamos a hacer una revisión de los trabajos cientificos en juegos similares (como el poker), luego conceptualizar algunos terminos clave en función del comportamiento y estilo cognitivo de jugadores de truco y finalmente, proponemos a la comunidad el involucramiento en el desarrollo de un agente de aprendizaje reforzado para resolver este problema.