Alternatives and similar repositories for DLmodels:

Users that are interested in DLmodels are comparing it to the libraries listed below

• harvardnlp / regulatory-prediction
  Code and Data to accompany "Dilated Convolutions for Modeling Long-Distance Genomic Dependencies", presented at the ICML 2017 Workshop on…
  ☆28Updated 7 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆42Updated 7 years ago
• jssong-lab / maxEnt
  ☆11Updated 7 years ago
• enalisnick / mixture_density_VAEs
  Variational Autoencoders with Gaussian Mixture Latent Space
  ☆36Updated 7 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• IraKorshunova / bruno
  a deep recurrent model for exchangeable data
  ☆34Updated 4 years ago
• gokceneraslan / dietnet
  Diet networks in TensorFlow
  ☆16Updated 7 years ago
• paruby / Wasserstein-Auto-Encoders
  Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761
  ☆37Updated 6 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 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
• adri-romsor / DietNetworks
  ☆34Updated 7 years ago
• emtiyaz / vmp-for-svae
  Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)
  ☆44Updated 6 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• ganow / keras-information-dropout
  Keras implementation of the Information Dropout (arXiv:1611.01353) paper
  ☆15Updated 8 years ago
• rahulk90 / vae_sparse
  VAEs on Sparse Data
  ☆12Updated 7 years ago
• wellecks / vaes
  Variational Autoencoders & Normalizing Flows Project
  ☆18Updated 8 years ago
• samuela / oi-vae
  Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"
  ☆26Updated 5 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 10 years ago
• RuiShu / vae-experiments
  Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…
  ☆62Updated 8 years ago
• SheffieldML / GPclust
  Collapsed Variational Bayes
  ☆69Updated 5 years ago
• casperkaae / LVAE
  Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
  ☆100Updated 8 years ago
• TammoR / LogicalFactorisationMachines
  ☆21Updated 5 years ago
• okraus / DeepLoc
  This repository contains the code, and access to the pretrained models and datasets for the paper: "Automated analysis of high-content mi…
  ☆50Updated 7 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 7 years ago
• frkl / active-learning
  Active learning for deep learning
  ☆19Updated 6 years ago
• loliverhennigh / Early-Visual-Concept-Learning-Recreation-of-Some-Results
  Here is an implementation of some of a few results seen in Early Visual Concept Learning with Unsupervised Deep Learning
  ☆28Updated 8 years ago
• vithursant / VAE-Gumbel-Softmax
  An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…
  ☆72Updated 6 years ago
• ermongroup / Sequential-Variational-Autoencoder
  Implementation of Sequential Variational Autoencoder
  ☆86Updated 7 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆98Updated 8 years ago
• y0ast / VIMCO
  Implementation of "Variational Inference for Monte Carlo Objectives"
  ☆21Updated 4 years ago