lyprince / sdtw_pytorchLinks
Implementation of soft dynamic time warping in pytorch
☆99Updated 4 years ago
Alternatives and similar repositories for sdtw_pytorch
Users that are interested in sdtw_pytorch are comparing it to the libraries listed below
Sorting:
- ☆24Updated 5 years ago
- An implementation of SoftDTW for PyTorch.☆228Updated 5 years ago
- Differentiable Dynamic Programming☆70Updated 5 years ago
- STCN: Stochastic Temporal Convolutional Networks☆69Updated 5 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆92Updated 8 years ago
- ☆80Updated 7 years ago
- Dilated RNNs in pytorch☆211Updated 6 years ago
- Kalman Variational Auto-Encoder☆137Updated 6 years ago
- PyTorch implementation of Neural Processes☆88Updated 6 years ago
- Adversarial Non-linear Independent Component Analysis☆50Updated 8 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- ☆22Updated 6 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Time-Contrastive Learning☆65Updated 7 years ago
- An implementation of soft-DTW divergences.☆135Updated 4 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- Variational Auto-Encoders in a Sequential Setting.☆177Updated 7 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆48Updated 7 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 5 years ago
- This repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable R…☆156Updated 7 years ago
- ☆40Updated 7 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 8 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆192Updated 2 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆75Updated 8 years ago
- ☆91Updated 6 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆214Updated 5 years ago
- Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆68Updated 11 months ago