Alternatives and similar repositories for sdtw_pytorch

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

• arthurmensch / didyprog
  Differentiable Dynamic Programming
  ☆71Updated 5 years ago
• Sleepwalking / pytorch-softdtw
  An implementation of SoftDTW for PyTorch.
  ☆228Updated 5 years ago
• laiguokun / SWaveNet
  ☆24Updated 5 years ago
• jmtomczak / vae_vpflows
  Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling
  ☆92Updated 8 years ago
• yatindandi / Disentangled-Sequential-Autoencoder
  Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…
  ☆106Updated 6 years ago
• emreaksan / stcn
  STCN: Stochastic Temporal Convolutional Networks
  ☆69Updated 5 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆87Updated 6 years ago
• jpeg729 / pytorch_bits
  ☆80Updated 7 years ago
• zalandoresearch / pytorch-dilated-rnn
  Dilated RNNs in pytorch
  ☆211Updated 6 years ago
• apsarath / NRU
  ☆22Updated 6 years ago
• limbo018 / FRU
  ☆40Updated 7 years ago
• pbrakel / anica
  Adversarial Non-linear Independent Component Analysis
  ☆50Updated 8 years ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆125Updated 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…
  ☆156Updated 7 years ago
• BGU-CS-VIL / dtan
  Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…
  ☆67Updated last year
• geniki / neural-processes
  PyTorch implementation of Neural Processes
  ☆88Updated 6 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 8 years ago
• google / vae-seq
  Variational Auto-Encoders in a Sequential Setting.
  ☆177Updated 7 years ago
• google-research / soft-dtw-divergences
  An implementation of soft-DTW divergences.
  ☆135Updated 4 years ago
• CW-Huang / naf_examples
  examples of Neural Autoregressive Flows
  ☆13Updated 7 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 6 years ago
• Nat-D / GMVAE
  Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
  ☆215Updated 5 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆132Updated 6 years ago
• izmailovpavel / flowgmm
  ☆149Updated 3 years ago
• hmorioka / TCL
  Time-Contrastive Learning
  ☆67Updated 7 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆181Updated 4 years ago
• simonkamronn / kvae
  Kalman Variational Auto-Encoder
  ☆138Updated 6 years ago
• marcofraccaro / srnn
  Code for "Sequential Neural Models with Stochastic Layers"
  ☆117Updated 9 years ago
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆52Updated 8 years ago
• psanch21 / VAE-GMVAE
  This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures
  ☆210Updated 5 years ago