Jiadalee

LandPy

Using random foresct and suppor vector machine to classify the aerial land-cover images

AILibrary

csl-editor

cslEditorLib - A HTML 5 library for searching and editing CSL styles

MSWTB-at-UU

Using smart water test bed to connect EPANET hydraulic model

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

UltraSens

Sketches for Driving MayFly Datalogger to Mico-control the Maxbotix 7363 Water Level Sensor

adtk

A Python toolkit for unsupervised anomaly detection in time series

Attention_Seq2seq-Translation

CCFMR

R Package for Exploring Change Factor Methodology

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deap

Distributed Evolutionary Algorithms in Python

Deep-Learning-with-TensorFlow-2.0-in-7-Steps

Learn image classification and language modeling

docs.open-storm.org

Documentation for open storm projects

itzi

A dynamic GIS flood model

keras

Deep Learning for humans

keras-docs-zh

Chinese (zh-cn) translation of the Keras documentation.

medical-nlp

Dataset for Natural Language Processing using a corpus of medical transcriptions and custom-generated clinical stop words and vocabulary.

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Norfolk_Groundwater_Model

This repository contains scripts to model and forecast shallow groundwater table level in Norfolk, VA with artificial neural networks.

open-storm-workshop

Materials for the open storm workshop

opioid_classification

Using supervised learning algorithms to predict opioid overdose deaths using Medicare and Medicaid prescription data

pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMA-ES

pystorms

Simulation sandbox for the development and evaluation of stormwater control algorithms.

SensorPlacementInDistributionNetworks

Sensor Placement 基于NSGA2算法的供水管网水质监测点布局

SmartH2O_LongExperimentalTrial

Long-term evaluation of the SmartH2O project for water usage behaviour change.

SWMM-Astlingen

This hydrodynamic SWMM model is developed by Congcong Sun (Institut de Robòtica i Informàtica Industrial (CSIC-UPC) under the supervise of Manfred Schütze (Department of Water and Energy, ifak), Morten Borup and Luca Vezzaro (Department of Environmental Engineering of Technical University of Denmark). Quote and mention the authors are needed during the use and dissemination of this model.

swmm_rl

Repo for SWMM RL code

TimeSeries_Seq2Seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

Water-Quality-Modeling-and-Control

Wavenet-in-Keras-for-Kaggle-Competition-Web-Traffic-Time-Series-Forecasting

Sequence to Sequence Model based on Wavenet instead of LSTM implemented in Keras