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)
  ☆345Updated 7 years ago
• tonyduan / mixture-density-network
  Mixture density network implemented in PyTorch.
  ☆137Updated last year
• simonkamronn / kvae
  Kalman Variational Auto-Encoder
  ☆135Updated 6 years ago
• sksq96 / pytorch-mdn
  Mixture Density Networks (MDN) implemented in PyTorch
  ☆65Updated 4 years ago
• dusenberrymw / mixture-density-networks
  An exploration of mixture density networks
  ☆32Updated 7 years ago
• freelunchtheorem / Conditional_Density_Estimation
  Package implementing various parametric and nonparametric methods for conditional density estimation
  ☆191Updated last year
• sagelywizard / pytorch-mdn
  Mixture Density Networks for PyTorch
  ☆219Updated 3 weeks ago
• lyprince / sdtw_pytorch
  Implementation of soft dynamic time warping in pytorch
  ☆100Updated 3 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆51Updated 6 years ago
• nengo / keras-lmu
  Keras implementation of Legendre Memory Units
  ☆212Updated 7 months ago
• chrisorm / pydata-2018
  ☆64Updated 6 years ago
• wassname / attentive-neural-processes
  implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
  ☆92Updated 11 months ago
• jason71995 / Keras_ODENet
  Implementation of (2018) Neural Ordinary Differential Equations on Keras
  ☆64Updated 5 years ago
• williamgilpin / fnn
  Embed strange attractors using a regularizer for autoencoders
  ☆133Updated 3 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆43Updated 6 years ago
• mvaldenegro / keras-uncertainty
  Utilities to perform Uncertainty Quantification on Keras Models
  ☆113Updated 11 months ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆193Updated last year
• google / vae-seq
  Variational Auto-Encoders in a Sequential Setting.
  ☆172Updated 6 years ago
• yanji84 / keras-mdn
  Implementation of mixture density network layer and objective function in Keras
  ☆22Updated 8 years ago
• dfm / gp
  A tutorial about Gaussian process regression
  ☆185Updated 4 years ago
• patrick-kidger / Deep-Signature-Transforms
  Code for "Deep Signature Transforms" (NeurIPS 2019)
  ☆93Updated 6 months ago
• titu1994 / tfdiffeq
  Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
  ☆218Updated 4 years ago
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆131Updated last year
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆164Updated 4 years ago
• mlech26l / ode-lstms
  Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
  ☆113Updated last year
• jehillparikh / bayesianLSTM
  Bayesian LSTM (Tensorflow)
  ☆53Updated last year
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆136Updated 4 years ago
• zhenwendai / RGP
  Python library for Recurrent Gaussian Processes
  ☆19Updated 7 years ago
• Mogeng / IOHMM
  Input Output Hidden Markov Model (IOHMM) in Python
  ☆165Updated 8 months ago
• emited / VariationalRecurrentNeuralNetwork
  Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
  ☆281Updated 3 years ago