Alternatives and similar repositories for didyprog:

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

• harvardnlp / TextFlow
  ☆120Updated 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
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆123Updated 3 years ago
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆52Updated 7 years ago
• jmtomczak / vae_householder_flow
  Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
  ☆76Updated 8 years ago
• paruby / DIP-VAE
  An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…
  ☆24Updated 6 years ago
• CW-Huang / torchkit
  ☆37Updated 5 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…
  ☆73Updated 6 years ago
• riannevdberg / sylvester-flows
  ☆178Updated 5 years ago
• choidami / sst
  ☆49Updated 4 years ago
• duvenaud / relax
  Optimizing control variates for black-box gradient estimation
  ☆162Updated 5 years ago
• lyprince / sdtw_pytorch
  Implementation of soft dynamic time warping in pytorch
  ☆100Updated 3 years ago
• teganmaharaj / zoneout
  Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.
  ☆78Updated 7 years ago
• marcofraccaro / srnn
  Code for "Sequential Neural Models with Stochastic Layers"
  ☆115Updated 8 years ago
• Zhiyuan1991 / proVLAE
  ☆27Updated 4 years ago
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆74Updated 7 months ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 4 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 4 years ago
• wnhsu / FactorizedHierarchicalVAE
  This repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable R…
  ☆154Updated 7 years ago
• distsup / DistSup
  Representation learning for NLP @ JSALT19
  ☆38Updated 4 years ago
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆164Updated 4 years ago
• Orkis-Research / Quaternion-Recurrent-Neural-Networks
  This is the code for the paper 'Quaternion Recurrent Neural Networks'.
  ☆58Updated 6 years ago
• wgrathwohl / BackpropThroughTheVoidRL
  RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…
  ☆38Updated 7 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆77Updated 2 years ago
• xqding / Importance_Weighted_Autoencoders
  A PyTorch Implementation of the Importance Weighted Autoencoders
  ☆40Updated 6 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 6 years ago
• anirudh9119 / zforcing_nips17
  Z Forcing: Training Stochastic RNN's, NIPS'17
  ☆32Updated 7 years ago
• pemami4911 / REBAR-pytorch
  Implementation of REBAR in PyTorch
  ☆17Updated 6 years ago
• enalisnick / mixture_density_VAEs
  Variational Autoencoders with Gaussian Mixture Latent Space
  ☆36Updated 7 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆62Updated 4 years ago