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machine-learning

Practical Full-Stack Machine Learning

mapie

A scikit-learn-compatible module for estimating prediction intervals.

maxhydroq

This OMS component computes the maximum flow that will drain into the sewer

mc-lstm

Experiments with Mass Conserving LSTMs

medium

Jupyter notebooks used for Medium.com articles

medium_notebook

Repository containing notebooks of my posts on Medium

merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

metaearth

Download and access remote sensing data from any platform

meteostat-python

Access and analyze historical weather and climate data with Python.

mgcv

:exclamation: This is a read-only mirror of the CRAN R package repository. mgcv — Mixed GAM Computation Vehicle with Automatic Smoothness Estimation

mintpy

Miami InSAR time-series software in Python

mixture-density-networks-for-distribution-and-uncertainty-estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

ml_flood

Machine learning to predict floods

mlforecast

Scalable machine 🤖 learning for time series forecasting.

modflow-setup

Package for automating setup of MODFLOW groundwater flow models

modflow6

MODFLOW 6 Repository

montecarlo

An R package for simulation studies.

motif-examples

multivariate-facebook-prophet-time-series-forecasting-template

Template: Multivariate Facebook Prophet Time Series Forecasting

mvts_transformer

Multivariate Time Series Transformer, public version

n-beats

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

n-beats-1

nasaaccess

NASAaccess is R package that can generate gridded ascii tables of climate (CIMP5) and weather data (GPM, TRMM, GLDAS) needed to drive various hydrological models (e.g., SWAT, VIC, RHESSys, ..etc)

nbeats_forecast

N-Beats library implementation

nbeatsx

netradiation

neural-ode-experiments

This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms for time series data :wavy_dash:

neuralhydrology

Python library to train neural networks with a strong focus on hydrological applications.

neuralprophetexamples

This repo contains the example code used in my Medium article about NeuralProphet.