Alternatives and similar repositories for pytorch-mdn

Users that are interested in pytorch-mdn are comparing it to the libraries listed below

• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆96Updated 4 years ago
• xqding / TD-VAE
  Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)
  ☆162Updated 2 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆51Updated 7 years ago
• simonkamronn / kvae
  Kalman Variational Auto-Encoder
  ☆136Updated 6 years ago
• sagelywizard / pytorch-mdn
  Mixture Density Networks for PyTorch
  ☆221Updated 6 months ago
• thanard / causal-infogan
  ☆86Updated 6 years ago
• cmdowney / psrnn
  Predictive State Recurrent Neural Networks
  ☆18Updated 5 years ago
• wyndwarrior / Sectar
  Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
  ☆96Updated 7 years ago
• siemens / policy_search_bb-alpha
  ☆69Updated 7 years ago
• ethanluoyc / e2c-pytorch
  E2C implementation in PyTorch
  ☆43Updated 8 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 6 years ago
• higgsfield / interaction_network_pytorch
  Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics
  ☆130Updated 7 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆116Updated 5 years ago
• ericjang / e2c
  TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆65Updated 9 years ago
• joelouismarino / amortized-variational-filtering
  PyTorch implementation of AVF
  ☆45Updated 4 years ago
• mbhenaff / EEN
  EEN: Error Encoding Network
  ☆66Updated 7 years ago
• dusenberrymw / mixture-density-networks
  An exploration of mixture density networks
  ☆35Updated 7 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆136Updated 3 years ago
• facebookresearch / dcem
  The Differentiable Cross-Entropy Method
  ☆123Updated 4 years ago
• Alfo5123 / Robust-Multitask-RL
  Machine Learning Course Project Skoltech 2018
  ☆108Updated 6 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 6 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• lxuechen / BDMC
  PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.
  ☆52Updated 4 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• sjoerdvansteenkiste / Relational-NEM
  Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.
  ☆73Updated 2 years ago
• FerranAlet / modular-metalearning
  ☆78Updated 4 years ago
• araffin / srl-zoo
  State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
  ☆163Updated 6 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 years ago
• yaringal / HeteroscedasticDropoutUncertainty
  Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.
  ☆140Updated 9 years ago
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 6 years ago