Alternatives and similar repositories for cortex:

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

• 11-626 / Deep-INFOMAX
  This is a pytorch implementation of Deep-INFOMAX.
  ☆35Updated 5 years ago
• jmtomczak / vae_vpflows
  Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling
  ☆91Updated 7 years ago
• yookoon / VLAE
  Code for Variational Laplace Autoencoders
  ☆54Updated last year
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 7 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 5 years ago
• conormdurkan / neural-statistician
  PyTorch Implementation of Neural Statistician
  ☆60Updated 3 years ago
• MasanoriYamada / Mine_pytorch
  MINE: Mutual Information Neural Estimation in pytorch (unofficial)
  ☆204Updated 6 years ago
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆52Updated 7 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 7 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• flrngel / cpc-tensorflow
  Tensorflow implementation of "Representation Learning with Contrastive Predictive Coding"
  ☆64Updated 6 years ago
• nakosung / VQ-VAE
  VQ-VAE implementation / pytorch
  ☆181Updated 7 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
• BioroboticsLab / IBA-paper-code
  Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"
  ☆76Updated 5 years ago
• kylehkhsu / cactus-maml
  Code for Unsupervised Learning via Meta-Learning.
  ☆120Updated 6 years ago
• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆62Updated 4 years ago
• vsyrgkanis / optimistic_GAN_training
  ☆46Updated 7 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆175Updated 7 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• pclucas14 / pytorch-glow
  Pytorch Implementation of OpenAI's GLOW
  ☆94Updated 4 years ago
• jlezama / disentangling-jacobian
  Source code for ICLR 2019 paper
  ☆24Updated 4 years ago
• johnwlambert / dlupi-heteroscedastic-dropout
  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
  ☆38Updated 4 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆103Updated 6 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 5 years ago
• 1Konny / WAE-pytorch
  ☆68Updated 6 years ago
• cianeastwood / qedr
  Quantitative evaluation of disentangled representations
  ☆62Updated 7 years ago
• sjoerdvansteenkiste / Neural-EM
  Code for the "Neural Expectation Maximization" paper.
  ☆126Updated 2 years ago
• da-molchanov / variance-networks
  Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
  ☆39Updated 5 years ago
• reiinakano / invariant-risk-minimization
  Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
  ☆86Updated 5 years ago