Alternatives and similar repositories for ConvLSTM-2:

Users that are interested in ConvLSTM-2 are comparing it to the libraries listed below

• jerrywn121 / TianChi_AIEarth
  TianChi AIEarth Contest Solution
  ☆80Updated 3 years ago
• GMfatcat / ConvLSTM-CNN-for-tropical-cyclone
  Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity
  ☆35Updated 2 years ago
• MinNamgung / sa_convlstm
  Base-line model
  ☆16Updated 3 years ago
• uniquezhiyuan / ImagesSequencesPredictions
  雷达回波外推，ConvLSTM，训练模型并外推。
  ☆86Updated 6 years ago
• bruce803 / Air-quality-prediction
  We propose to continuously predict the whole $station \times feature$ map in the next 1 to 48 hours with a convolutional LSTM (ConvLSTM, …
  ☆10Updated 5 years ago
• lastproxy / Basic_PredRNN_Seq2seq
  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.
  ☆33Updated 4 years ago
• trichtu / ConvLSTM-RAU-net
  Spatial-temperal Prediction Model based on history observation and WRF numerical prediction
  ☆36Updated 5 years ago
• petrosDemetrakopoulos / LSTM-radar-precipitation-forecast
  A model for short-term precipitation forecasting based on radar data
  ☆61Updated 9 months ago
• CNALeon007 / TrajGRU
  An implementation of tensorflow-based TrajGRU model
  ☆24Updated 5 years ago
• johnjaejunlee95 / SA_ConvLSTM
  Pytorch Implementation of the Paper: Self-Attention ConvLSTM for Spatiotemporal Prediction
  ☆18Updated 5 months ago
• se7ven012 / ConvLSTM
  Typhoon Prediction
  ☆12Updated 5 years ago
• dreaming-coder / STudy
  时空预测模型PyTorch复现
  ☆52Updated 2 years ago
• TeaPearce / precipitation-prediction-convLSTM-keras
  CIKM contest entry 'Convolutional LSTM neural network to extrapolate radar images, and predict rainfall'
  ☆192Updated 7 years ago
• luochuyao / PFST-LSTM
  This is a Pytorch implementation of PFST-LSTM, a recurrent model for precipitation nowcasting (radar echo extrapolation) as described in …
  ☆26Updated 4 years ago
• luochuyao / IDA_LSTM
  The Radar Echo Extrapolation Model
  ☆33Updated 3 years ago
• AILAB-CEFET-RJ / stconvs2s
  Code for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting" (Neurocomputing, Elsevi…
  ☆66Updated 3 years ago
• fengjiqiang / LSTM-Wind-Speed-Forecasting
  LSTM to predict wind speed
  ☆52Updated 4 years ago
• gsarm78 / cs230Project
  Precipitation Nowcasting using DL - CS230 Deep Learning course group project
  ☆21Updated 5 years ago
• HermioneX / 2019-tianchi-typhoon-top20
  2019 Tianchi Zhuifeng Juvenile Typhoon Satellite Image Prediction—Optical Flow Method Solution
  ☆11Updated last year
• dscheepens / Deep-RNN-for-extreme-wind-speed-prediction
  Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extre…
  ☆16Updated 7 months ago
• Mikubill / GAN-ConvLSTM
  GAN based ConvLSTM in precipitation prediction (Trial Version)
  ☆47Updated last year
• MeteoSwiss / c4dl-multi
  Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"
  ☆33Updated 2 years ago
• tsugumi-sys / SA-ConvLSTM-Pytorch
  Pytorch implementation of Self-Attention ConvLSTM
  ☆91Updated 8 months ago
• sophiegif / FusionCNN_hurricanes
  public codes for fusing CNN networks
  ☆22Updated 5 years ago
• sftekin / spatio-temporal-weather-forecasting
  Spatio-temporal Numerical Weather Forecasting Pipeline. It has the code for the introduced weather model architecture
  ☆52Updated last year
• wangyifan2018 / ConvLSTM-image-prediction
  Predict pictures based on ConvLSTM
  ☆18Updated 4 years ago
• OUC-LeiHan / AAS-CUnet
  ☆24Updated 2 years ago
• bugsuse / MIM_PyTorch
  PyTorch Code of "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics"
  ☆14Updated 3 years ago
• bugsuse / radar_nowcasting
  A DEMO of weather radar nowcasting using deep learning model (SmaAt-Unet)
  ☆51Updated 3 years ago
• geek-yang / DLACs
  A library designed to implement deep learning algorisms to climate data for weather and climate prediction.
  ☆21Updated 2 years ago