Alternatives and similar repositories for keras-mdn-layer

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

• axelbrando / Mixture-Density-Networks-for-distribution-and-uncertainty-estimation
  A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
  ☆348Updated 7 years ago
• sksq96 / pytorch-mdn
  Mixture Density Networks (MDN) implemented in PyTorch
  ☆66Updated 5 years ago
• tonyduan / mixture-density-network
  Mixture density network implemented in PyTorch.
  ☆145Updated 2 years ago
• simonkamronn / kvae
  Kalman Variational Auto-Encoder
  ☆136Updated 6 years ago
• jason71995 / Keras_ODENet
  Implementation of (2018) Neural Ordinary Differential Equations on Keras
  ☆65Updated 6 years ago
• dusenberrymw / mixture-density-networks
  An exploration of mixture density networks
  ☆34Updated 7 years ago
• lyprince / sdtw_pytorch
  Implementation of soft dynamic time warping in pytorch
  ☆99Updated 3 years ago
• freelunchtheorem / Conditional_Density_Estimation
  Package implementing various parametric and nonparametric methods for conditional density estimation
  ☆197Updated 2 years ago
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆249Updated 10 months ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• mirceamironenco / BayesianRecurrentNN
  Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
  ☆218Updated 6 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• sagelywizard / pytorch-mdn
  Mixture Density Networks for PyTorch
  ☆220Updated 4 months ago
• kasparmartens / NeuralProcesses
  Neural Processes implementation for 1D regression
  ☆65Updated 6 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆115Updated 5 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 years ago
• jpeg729 / pytorch_bits
  ☆80Updated 7 years ago
• mandubian / neural-ode
  Neural Ordinary Differential Equation
  ☆101Updated 6 years ago
• ermongroup / Sequential-Variational-Autoencoder
  Implementation of Sequential Variational Autoencoder
  ☆88Updated 7 years ago
• yaringal / HeteroscedasticDropoutUncertainty
  Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.
  ☆140Updated 9 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆51Updated 6 years ago
• idelbrid / Randomly-Projected-Additive-GPs
  Code for Randomly Projected Additive Gaussian Processes
  ☆25Updated 5 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆132Updated 5 years ago
• amirgholami / anode
  [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
  ☆104Updated 4 years ago
• msmbuilder / vde
  Variational Autoencoder for Dimensionality Reduction of Time-Series
  ☆188Updated 3 years ago
• emreaksan / stcn
  STCN: Stochastic Temporal Convolutional Networks
  ☆69Updated 4 years ago
• markvdw / convgp
  Convolutional Gaussian processes based on GPflow.
  ☆96Updated 7 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆233Updated 4 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆196Updated 2 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆203Updated 2 years ago