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adsnet

Code release for "Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast"

climate-learn

Source code for ClimateLearn

climax

Foundation model for weather & climate

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

deeplearning

dive-into-deep-learning-pytorch-pdf

本项目对中文版《动手学深度学习》中的代码进行了整理

dl4es

ealstm_regional_modeling

Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

enso-forcasting

Improving the forecasting accuracy of ENSO through deep learning

hydrodl

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

irradiancenet

julia

The Julia Programming Language

lihang-code

《统计学习方法》的代码实现

lstm_for_pub

Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"

machine-learning-deep-learning-notes

机器学习、深度学习的学习路径及知识总结

mc-lstm

Experiments with Mass Conserving LSTMs

metnet

PyTorch Implementation of Google Research's MetNet and MetNet-2

metnet3-pytorch

Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch

metnet_pytorch

A MetNet implementation in Pytorch and fastai

ml-visuals

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

mlp_stock

Stock price prediction using ensemble MLP in PyTorch.

openstl

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

pangeo_lstm_example

Example notebook, showing how to use LSTMs for rainfall-runoff modeling

phydnet

Code for our CVPR 2020 paper "Disentangling Physical Dynamics from Unknown Factors for UnsupervisedVideo Prediction"

predrnn-_pytorch

This is a Pytorch implementation of PredRNN++

predrnn-pytorch

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

pvlib-python

A set of documented functions for simulating the performance of photovoltaic energy systems.