Alternatives and similar repositories for flow:

Users that are interested in flow are comparing it to the libraries listed below

• JeremieDona / spatiotemporal_variable_separation
  Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*
  ☆30Updated 4 years ago
• Yunbo426 / MIM
  Code release for "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics" …
  ☆153Updated 5 years ago
• vincent-leguen / PhyDNet
  Code for our CVPR 2020 paper "Disentangling Physical Dynamics from Unknown Factors for UnsupervisedVideo Prediction"
  ☆194Updated 3 years ago
• USC-Melady / ICLR2020-PADGN
  Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…
  ☆50Updated 5 years ago
• ujjax / pred-rnn
  PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
  ☆124Updated 5 years ago
• NVlabs / conv-tt-lstm
  ☆125Updated 2 years ago
• ZichaoLong / aTEAM
  A pyTorch Extension for Applied Mathematics
  ☆39Updated 5 years ago
• xzr12 / PredCNN
  Code release for "PredCNN: Predictive Learning with Cascade Convolutions" (IJCAI 2018)
  ☆27Updated 6 years ago
• cambridge-mlg / convcnp
  Implementation of the Convolutional Conditional Neural Process
  ☆122Updated 3 years ago
• Yunbo426 / predrnn-pp
  Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)
  ☆264Updated 5 years ago
• FerranAlet / graph_element_networks
  ☆56Updated 2 years ago
• djgagne / lorenz_gan
  Lorenz 96 model with GAN parameterization of unresolved scale (Y).
  ☆36Updated 5 years ago
• guanfuchen / videopred
  Common Video Prediction Architectures
  ☆16Updated 7 years ago
• Linusnie / convLSTM_movingMNIST
  ☆47Updated 6 years ago
• tychovdo / MovingMNIST
  Moving MNIST as PyTorch Dataset
  ☆96Updated 4 years ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆25Updated 2 years ago
• saparina / neural-ode
  Experiments with Neural Ordinary Differential Equations on image and text classification tasks
  ☆31Updated 6 years ago
• sungyongs / dpgn
  Differentiable Physics-informed Graph Networks
  ☆66Updated 5 years ago
• rogertrullo / pytorch_convlstm
  convolutional lstm implementation in pytorch
  ☆158Updated 7 years ago
• gnosisyuw / CrevNet-Traffic4cast
  ☆27Updated 4 years ago
• thuml / transferable-memory
  ☆20Updated 4 years ago
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆59Updated 3 years ago
• mlech26l / ode-lstms
  Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
  ☆114Updated 2 years ago
• Rose-STL-Lab / Equivariant-Net
  ☆35Updated last year
• bionick87 / PredNet-ConvGRU
  This is an PyTorch implementation of PredNet paper.
  ☆28Updated 7 years ago
• caiyunapp / leibniz
  Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch
  ☆15Updated 3 years ago
• yakovlev31 / graphpdes_experiments
  ☆34Updated 4 years ago
• Bei-Jin / STMFANet
  ☆43Updated 4 years ago
• maxjiang93 / space_time_pde
  MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution
  ☆106Updated 4 years ago
• edouardelasalles / srvp
  Official implementation of the paper Stochastic Latent Residual Video Prediction
  ☆77Updated 3 years ago