h-jia / batch_normalized_LSTMLinks
Implementation of batch normalization LSTM in pytorch.
☆12Updated 6 years ago
Alternatives and similar repositories for batch_normalized_LSTM
Users that are interested in batch_normalized_LSTM are comparing it to the libraries listed below
Sorting:
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- Batch normalized LSTM with pytorch☆21Updated 7 years ago
- Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)☆70Updated 5 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆205Updated 7 years ago
- Contrastive Predictive Coding for Automatic Speaker Verification☆501Updated 5 years ago
- Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution☆55Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆75Updated 5 years ago
- The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch☆17Updated 6 years ago
- This is a PyTorch implementation of the ICLR 2017 paper "HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS" (https://openreview.net/pdf?i…☆51Updated 7 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆201Updated 7 years ago
- Learning deep representations by mutual information estimation and maximization☆323Updated 6 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆32Updated last year
- Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…☆57Updated 4 years ago
- ☆66Updated 6 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- Code for Self-Routing Capsule Networks☆52Updated 2 months ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆351Updated 6 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Updated 5 years ago
- Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"☆14Updated 5 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆71Updated 3 years ago
- An easy-to-follow Pytorch implementation of Hinton's Capsule Network☆200Updated 2 years ago
- Minimal RNN classifier with self-attention in Pytorch☆151Updated 3 years ago
- This is a pytorch implementation of Deep-INFOMAX.☆35Updated 5 years ago
- ☆14Updated 6 years ago
- pytorch implementation of VAE-Gumble-Softmax☆63Updated 5 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- ☆30Updated 7 years ago