Stars
A graph scheduler generates the order in which the nodes of a directed acyclic graph (DAG) are executed using the structure of the graph and expressive conditions.
A project that has excellent code examples for creating letterheads and other PDF documents using data from sources like Database,CSV etc.
High-Performance Symbolic Regression in Python and Julia
A Python package to aggregate and reduce water distribution network models
Fit interpretable models. Explain blackbox machine learning.
Mixed-Integer Linear Programming framework for water distribution system optimization
DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.
Python library to train neural networks with a strong focus on hydrological applications.
Experimental parser for Pywr json network definitions
LeakDB (Leakage Diagnosis Benchmark) is a realistic leakage dataset for water distribution networks. The dataset is comprised of a large number of artificially created but realistic leakage scenari…
A Julia/JuMP Package for Water Distribution Network Optimization
UMWRG / pywrparser
Forked from pmslavin/pywrparserParser for Pywr json network definitions
GoogleTest - Google Testing and Mocking Framework
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.
# This is part of automating preprocessing task for my TUFLOW project
Machine learning models applied to water demand forecasting in the City of London.
A domain-specific probabilistic programming language for scalable Bayesian data cleaning
A Python package for causal inference in quasi-experimental settings
A lightweight, object-oriented finite state machine implementation in Python with many extensions
NeuralProphet: A simple forecasting package