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)
  ☆349Updated 8 years ago
• freelunchtheorem / Conditional_Density_Estimation
  Package implementing various parametric and nonparametric methods for conditional density estimation
  ☆196Updated 2 years ago
• jason71995 / Keras_ODENet
  Implementation of (2018) Neural Ordinary Differential Equations on Keras
  ☆65Updated 6 years ago
• sksq96 / pytorch-mdn
  Mixture Density Networks (MDN) implemented in PyTorch
  ☆65Updated 5 years ago
• simonkamronn / kvae
  Kalman Variational Auto-Encoder
  ☆136Updated 6 years ago
• lyprince / sdtw_pytorch
  Implementation of soft dynamic time warping in pytorch
  ☆99Updated 3 years ago
• tonyduan / mixture-density-network
  Mixture density network implemented in PyTorch.
  ☆148Updated 2 years ago
• dfm / gp
  A tutorial about Gaussian process regression
  ☆188Updated 4 years ago
• google / vae-seq
  Variational Auto-Encoders in a Sequential Setting.
  ☆175Updated 7 years ago
• nengo / keras-lmu
  Keras implementation of Legendre Memory Units
  ☆215Updated last week
• sagelywizard / pytorch-mdn
  Mixture Density Networks for PyTorch
  ☆220Updated 5 months ago
• statefb / dtwalign
  Comprehensive dynamic time warping module for python
  ☆109Updated 2 years ago
• despoisj / LatentSpaceVisualization
  Visualization techniques for the latent space of a convolutional autoencoder in Keras
  ☆196Updated 3 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆197Updated 2 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆132Updated 5 years ago
• bjlkeng / sandbox
  Play time!
  ☆199Updated 10 months ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆51Updated 7 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆60Updated 5 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆234Updated 4 years ago
• ShengjiaZhao / MMD-Variational-Autoencoder
  ☆109Updated 7 years ago
• idelbrid / Randomly-Projected-Additive-GPs
  Code for Randomly Projected Additive Gaussian Processes
  ☆25Updated 5 years ago
• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆37Updated 5 years ago
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆249Updated 11 months ago
• FlorentF9 / DESOM
  Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
  ☆97Updated last year
• amirgholami / anode
  [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
  ☆107Updated 4 years ago
• emited / VariationalRecurrentNeuralNetwork
  Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
  ☆285Updated 3 years ago
• nicola-decao / s-vae-tf
  Tensorflow implementation of Hyperspherical Variational Auto-Encoders
  ☆232Updated 6 years ago
• OverLordGoldDragon / see-rnn
  RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
  ☆181Updated last year
• yaringal / HeteroscedasticDropoutUncertainty
  Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.
  ☆140Updated 9 years ago
• cambridge-mlg / convcnp
  Implementation of the Convolutional Conditional Neural Process
  ☆124Updated 4 years ago