emreaksan / stcnLinks
STCN: Stochastic Temporal Convolutional Networks
☆69Updated 5 years ago
Alternatives and similar repositories for stcn
Users that are interested in stcn are comparing it to the libraries listed below
Sorting:
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Implementation of soft dynamic time warping in pytorch☆99Updated 3 years ago
- Dilated RNNs in pytorch☆213Updated 6 years ago
- ☆40Updated 7 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 7 years ago
- ☆24Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆215Updated 5 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- PyTorch implementation of Neural Processes☆89Updated 6 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 7 years ago
- Uncertainty Autoencoders, AISTATS 2019☆55Updated 6 years ago
- tensorflow implementation of the Wasserstein (aka optimal transport) distance☆72Updated 4 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- An adversarial autoencoder implementation in pytorch☆84Updated 6 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- PyTorch implementation of Deep Spectral Clustering paper on a toy dataset☆25Updated 7 years ago
- 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
- This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper☆214Updated 4 years ago
- Tensorflow implementation of "Representation Learning with Contrastive Predictive Coding"☆64Updated 6 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆29Updated 7 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆35Updated 8 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.☆138Updated 4 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆287Updated 3 years ago
- PyTorch implementation of Convolutional Recurrent Neural Network☆135Updated 2 years ago