implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
-
Updated
Mar 21, 2025 - Jupyter Notebook
implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
A Pytorch Implementation of Attentive Neural Process
A collection of scripts and tools that tracks the availability of hotspot 2.0, passpoint, and openroaming networks in the wild from the Wigle Dataset. Updates every 24 hours. Resets and archives yearly.
The RMCDA package is a comprehensive toolkit for Multi-Criteria Decision Analysis (MCDA), designed to facilitate the evaluation and ranking of alternatives based on multiple criteria. The package provides methods for implementing various MCDA techniques, including pairwise comparisons, partial-order analysis, and dominance-based decision rules.
Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"
Um projeto em Java para análise de preços de gás natural no Brasil, utilizando dados públicos da ANP. O sistema implementa um fluxo ETL (Extract, Transform, Load) completo: lê e trata arquivos CSV, carrega as informações em um banco de dados MySQL e oferece um menu interativo de console para execução de consultas analíticas.
Integração Home Assistant com preços de combustíveis da ANP por município
Data Crawler that get data from ANP (Natioinal Oil Association - Brazil)
API pública de preços de combustíveis por município, com dados da ANP
Data Analytics project using Power BI, DAX and Python to analyze fuel prices in Brazil with ANP public data, regional insights and ethanol vs gasoline competitiveness analysis.
Dashboard público sobre preços de combustíveis no Brasil. Observable Framework + PostgreSQL, build estático publicado no GitHub Pages.
NodeJS back-end API for web scraping data from Brazilian's ANP
MCP bridge for the Agent Network Protocol (ANP) — DID resolution, agent discovery, message formatting
To associate your repository with the anp topic, visit your repo's landing page and select "manage topics."