Alternatives and similar repositories for TD-VAE:

Users that are interested in TD-VAE are comparing it to the libraries listed below

• akanazawa / vgan
  Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Inf…
  ☆142Updated 2 years ago
• thanard / causal-infogan
  ☆86Updated 5 years ago
• sjoerdvansteenkiste / Relational-NEM
  Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.
  ☆73Updated 2 years ago
• edenton / svg
  ☆188Updated 2 years ago
• sksq96 / pytorch-mdn
  Mixture Density Networks (MDN) implemented in PyTorch
  ☆66Updated 4 years ago
• sagelywizard / snail
  A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper
  ☆98Updated 7 years ago
• jthsieh / DDPAE-video-prediction
  Learning to Decompose and Disentangle Representations for Video Prediction, NIPS 2018
  ☆135Updated 3 years ago
• xqding / Importance_Weighted_Autoencoders
  A PyTorch Implementation of the Importance Weighted Autoencoders
  ☆40Updated 6 years ago
• rr-learning / disentanglement_dataset
  ☆75Updated this week
• stelzner / monet
  An implementation of the MONet model for unsupervised scene decomposition in PyTorch
  ☆58Updated 2 years ago
• ritheshkumar95 / energy_based_generative_models
  PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
  ☆151Updated 5 years ago
• jlko / STOVE
  Structured Object-Aware Physics Prediction for Video Modeling and Planning
  ☆32Updated 4 years ago
• dfdazac / vaesbd
  Variational Autoencoder with Spatial Broadcast Decoder
  ☆35Updated 5 years ago
• yatindandi / Disentangled-Sequential-Autoencoder
  Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…
  ☆105Updated 6 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆65Updated 6 years ago
• akanimax / Variational_Discriminator_Bottleneck
  Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVER…
  ☆153Updated 6 years ago
• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆118Updated 3 years ago
• zhixuan-lin / SPACE
  Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"
  ☆102Updated last year
• sordonia / zforcing
  ZForcing Repo
  ☆40Updated 7 years ago
• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆62Updated 4 years ago
• sagelywizard / pytorch-mdn
  Mixture Density Networks for PyTorch
  ☆219Updated 3 months ago
• FerranAlet / modular-metalearning
  ☆77Updated 4 years ago
• edouardelasalles / srvp
  Official implementation of the paper Stochastic Latent Residual Video Prediction
  ☆77Updated 3 years ago
• pratikm141 / MMD-Variational-Autoencoder-Pytorch-InfoVAE
  Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch
  ☆42Updated 4 years ago
• ecker-lab / object-centric-representation-benchmark
  Code, data and benchmark from the paper "Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences".
  ☆36Updated 3 years ago
• facebookresearch / improved_vrnn
  Code for Improved Condtional VRNNs for Video Prediction
  ☆38Updated 3 years ago
• baudm / MONet-pytorch
  Burgess et al. "MONet: Unsupervised Scene Decomposition and Representation"
  ☆88Updated 2 years ago
• ermongroup / Sequential-Variational-Autoencoder
  Implementation of Sequential Variational Autoencoder
  ☆88Updated 7 years ago
• denproc / Taming-VAEs
  ☆26Updated 6 years ago
• emited / VariationalRecurrentNeuralNetwork
  Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
  ☆285Updated 3 years ago