Alternatives and similar repositories for mixture-density-networks

Users that are interested in mixture-density-networks are comparing it to the libraries listed below

• sksq96 / pytorch-mdn
  Mixture Density Networks (MDN) implemented in PyTorch
  ☆65Updated 5 years ago
• Near32 / PYTORCH_VAE
  Disentangled Variational AutoEncoder with PyTorch
  ☆29Updated 6 years ago
• joelouismarino / amortized-variational-filtering
  PyTorch implementation of AVF
  ☆45Updated 4 years ago
• SSS135 / aiqn-vae
  VAE + Quantile Networks for MNIST
  ☆13Updated 6 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• enalisnick / mixture_density_VAEs
  Variational Autoencoders with Gaussian Mixture Latent Space
  ☆36Updated 8 years ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• titu1994 / keras-minimal-rnn
  Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks
  ☆18Updated 7 years ago
• jramapuram / LifelongVAE
  Lifelong Variational Autoencoder
  ☆14Updated 7 years ago
• snowkylin / rnn-vae
  Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
  ☆39Updated 8 years ago
• ermongroup / Sequential-Variational-Autoencoder
  Implementation of Sequential Variational Autoencoder
  ☆88Updated 7 years ago
• wlwkgus / NoisyNaturalGradient
  Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
  ☆121Updated 6 years ago
• RobRomijnders / VAE_rec
  Variational Recurrent Auto Encoder
  ☆15Updated 9 years ago
• simonkamronn / kvae
  Kalman Variational Auto-Encoder
  ☆136Updated 6 years ago
• edouardoyallon / scalingscattering
  ☆82Updated 7 years ago
• pbrakel / anica
  Adversarial Non-linear Independent Component Analysis
  ☆50Updated 7 years ago
• muupan / deep-ensemble-uncertainty
  An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)
  ☆34Updated 8 years ago
• jpeg729 / pytorch_bits
  ☆80Updated 7 years ago
• lyprince / sdtw_pytorch
  Implementation of soft dynamic time warping in pytorch
  ☆99Updated 3 years ago
• fducau / infoVAE
  ☆16Updated 7 years ago
• emtiyaz / vmp-for-svae
  Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)
  ☆44Updated 7 years ago
• ritheshkumar95 / pytorch-normalizing-flows
  ☆17Updated 7 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 6 years ago
• onlytailei / Value-Iteration-Networks-PyTorch
  PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)
  ☆80Updated 8 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 years ago
• iassael / torch-e2c
  Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆43Updated 9 years ago
• foxlf823 / DilatedRnn
  A PyTorch implement of Dilated RNN
  ☆11Updated 7 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated 2 years ago
• AdamCobb / LCBNN
  ☆25Updated 2 years ago
• marcofraccaro / srnn
  Code for "Sequential Neural Models with Stochastic Layers"
  ☆117Updated 8 years ago