TsinghuaPhantom

TsinghuaPhantom's Stars

• mbchang/dynamics

  A Compositional Object-Based Approach to Learning Physical Dynamics

  Language:Lua16917

• Kayzaks/VividNet

  VividNet is an inverse-simulation pipeline based on neural-symbolic capsule networks.

  Language:Python83

• Schlumberger/joint-vae

  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

  Language:Jupyter Notebook46062

• thunil/Physics-Based-Deep-Learning

  Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

  1.7k303

• MrGemy95/visual-interaction-networks-pytorch

  This's an implementation of deepmind Visual Interaction Networks paper using pytorch

  Language:Python16625

• williamleif/graphsage-simple

  Simple reference implementation of GraphSAGE.

  Language:Python988240

• dfdazac/vaesbd

  Variational Autoencoder with Spatial Broadcast Decoder

  Language:Python353

• uber-research/CoordConv

  Language:Python21037

• dariocazzani/VAE-Mnist-CoordConv

  Implementation of CoordConv (Convolution and Deconvolution) for a Variational Autoencoder applied to MNIST

  Language:Python73

• ethanfetaya/NRI

  Neural relational inference for interacting systems - pytorch

  Language:Python737157

• sjoerdvansteenkiste/Relational-NEM

  Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.

  Language:Python7219

• mohanpb/Relational-NEM-pytorch

  Language:Python62

• ToruOwO/RNEM-pytorch

  A PyTorch implementation of R-NEM

  Language:Python22

• seuqaj114/paig

  Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video

  Language:Python3811