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Show mapped inputs to outputs of an Ergo transaction in a visual appealing way.
Zero-Knowledge Proof Implementation for Passwords and Other Secrets
Create and query tokens on the Ergo blockchain by encrypting and decrypting the description with a password.
React package to process Ergo Payments. Currently only supports the Nautilus wallet.
Simple application written in python to interact with the Ergo blockchain from the terminal.
Ruby bindings for https://github.com/ergoplatform/sigma-rust
PowNet: Network-constrained Unit Commitment / Economic Dispatch model in Python
Power systems optimization course materials
Solve the stochastic version of the Unit Commitment, a typical optimisation problem in power systems
Interactive tutorials for dApp development on Ergo Platform
Payload is the open-source, fullstack Next.js framework, giving you instant backend superpowers. Get a full TypeScript backend and admin panel instantly. Use Payload as a headless CMS or for buildi…
A python-jvm wrapper for interacting with the Ergo blockchain.
Javascript library to communicate with RESTful API built following JSON API specification. inspired by Laravel’s Eloquent
This repository provides a framework to perform two-stage stochastic programming on a district energy system considering uncertainties in energy demands, solar irradiance, wind speed, and electrici…
StochOptim is a Stochastic Optimization package with scenario-generation tools for two- and multi-stage problems
Stubbing out and documenting FastAPI, VueJS 3 and Docker workflow.
Free Vue JS (Nuxt 2) Tailwind Admin Dashboard Template
Inventory Management Built With Vue JS, Tailwindcss, Node JS, Express JS, and MySQL
Scalable and user friendly neural 🧠 forecasting algorithms.
An emonPi home energy monitoring system, modified to identify appliances using neural networks
Implementation of a two-stage robust optimization algorithm in the capacity firming framework.
Lectures on point and probabilistic forecasting given in the Microgrids course at Liège University.
Implementation of generative models to compute scenario of renewable generation and consumption.
Framework to model two stage stochastic unit commitment optimization problems.