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 4 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 years ago
• enalisnick / mixture_density_VAEs
  Variational Autoencoders with Gaussian Mixture Latent Space
  ☆36Updated 7 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆51Updated 6 years ago
• joelouismarino / amortized-variational-filtering
  PyTorch implementation of AVF
  ☆45Updated 4 years ago
• iassael / torch-e2c
  Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆42Updated 9 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
• ssydasheng / GPflow-Slim
  customized GPflow with simple Tensorflow API
  ☆17Updated 5 years ago
• emtiyaz / vmp-for-svae
  Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)
  ☆44Updated 7 years ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• Near32 / PYTORCH_VAE
  Disentangled Variational AutoEncoder with PyTorch
  ☆29Updated 6 years ago
• SSS135 / aiqn-vae
  VAE + Quantile Networks for MNIST
  ☆12Updated 6 years ago
• jhjacobsen / HierarchicalCNN
  ☆29Updated 7 years ago
• AMLab-Amsterdam / MNF_VBNN
  Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks
  ☆65Updated 4 years ago
• simonkamronn / kvae
  Kalman Variational Auto-Encoder
  ☆135Updated 6 years ago
• abietti / dpmm
  Variational inference for Dirichlet process mixture models with multinomial mixture components.
  ☆33Updated 11 years ago
• Shallow-Updates-for-Deep-RL / Shallow_Updates_for_Deep_RL
  Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"
  ☆18Updated 7 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆93Updated 4 years ago
• pbrakel / anica
  Adversarial Non-linear Independent Component Analysis
  ☆50Updated 7 years ago
• AaltoML / boundary-gp
  Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
  ☆23Updated 6 years ago
• wlwkgus / NoisyNaturalGradient
  Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
  ☆121Updated 6 years ago
• gpapamak / epsilon_free_inference
  Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"
  ☆31Updated 5 years ago
• titu1994 / keras-minimal-rnn
  Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks
  ☆17Updated 7 years ago
• gd-zhang / ACKTR
  Actor Critic using Kronecker-Factored Trust Region
  ☆19Updated 6 years ago
• sootlasten / beta-vae
  Beta-VAE implementations in both PyTorch and Tensorflow
  ☆22Updated 6 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
• cmdowney / psrnn
  Predictive State Recurrent Neural Networks
  ☆18Updated 4 years ago
• marcino239 / pilco
  Using Pilco algorithm to find a controller for few robotic problems
  ☆43Updated 9 years ago
• lxuechen / BDMC
  PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.
  ☆52Updated 3 years ago
• jayhack / LSTMVRAE
  Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks
  ☆54Updated 8 years ago