PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

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Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)

A hyperparameter optimization framework

Hybrid ML + physics model of the Earth's atmosphere

The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolut…

this repository accompanies the book "Grokking Deep Learning"

Curated list of project-based tutorials

从Convlstm2D的基础上改编: https://github.com/ndrplz/ConvLSTM_pytorch 可用于雷达回波等短临预报领域,采用模仿Dr.SXJ的Seq2seq结构.

Video Predicting using ConvLSTM and pytorch

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

pytorch implemention of trajGRU.

Multi-layer convolutional LSTM with Pytorch

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

TianChi AIEarth Contest Solution

Code examples in pyTorch and Tensorflow for CS230

Implementation of ConvLSTM in pytorch applied for BCI (Brain Machine Interface) following paper: Convolutional LSTM Network-A Machine Learning Approach for Precipitation Nowcasting

Implementation of Convolutional LSTM in PyTorch.

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Convolutional LSTM for Precipitation Nowcasting

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

A non-embedded AI for Clash Royale based on RL and CV.

存储时空数据预测的相关模型，基于tensorflow 2.0 实现

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.