honglinwen

Conditional-normalizing-flow-for-wind-power-forecasting

Code for paper "Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach" https://arxiv.org/abs/2206.02433

Wind-power-forecasting-based-on-SVGP

Code for paper "Sparse Variational Gaussian Process based Day-ahead Probabilistic Wind Power Forecasting", IEEE Transactions on Sustainable Energy

agents

Efficient Batched Reinforcement Learning in TensorFlow

benchmarks

Benchmark code

Energy-Disaggregation

energy_py

reinforcement learning agents and environments for energy systems

Forecasting-with-missing-values

Code for Wind energy forecasting with missing values within a fully conditional specification framework https://arxiv.org/abs/2203.08252

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

honglinwen.github.io

honglinwen_deprecated_page

magenta

Magenta: Music and Art Generation with Machine Intelligence

mdn

Mixture density network implemented in PyTorch.

models

Models and examples built with TensorFlow

neural-disaggregator

Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.

nmt

TensorFlow Neural Machine Translation Tutorial

PRML

PRML algorithms implemented in Python

Renewables_Scenario_Gen_GAN

The implementation of scenario generation for renewables production process

Tensorflow-Tutorial

Tensorflow tutorial from basic to hard