exe1023 / LSTM_LN
lstm with layer normalization
☆19Updated 3 years ago
Alternatives and similar repositories for LSTM_LN:
Users that are interested in LSTM_LN are comparing it to the libraries listed below
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆81Updated 6 years ago
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆135Updated 3 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆46Updated 4 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆45Updated 5 years ago
- Representation learning for NLP @ JSALT19☆38Updated 4 years ago
- Codes for "Towards Binary-Valued Gates for Robust LSTM Training".☆76Updated 6 years ago
- ☆40Updated 6 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆25Updated 5 years ago
- The Noise Contrastive Estimation for softmax output written in Pytorch☆318Updated 5 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 4 years ago
- 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
- Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].☆26Updated 6 years ago
- An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.☆245Updated 6 years ago
- Tensorflow implementation of "Representation Learning with Contrastive Predictive Coding"☆64Updated 6 years ago
- ☆22Updated 5 years ago
- Pytorch implement WaveNet☆93Updated 6 years ago
- This repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable R…☆153Updated 6 years ago
- This is the code for the paper 'Quaternion Recurrent Neural Networks'.☆57Updated 6 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- Differentiable Dynamic Programming☆69Updated 4 years ago
- Pytorch Implementation of "Neural Discrete Representation Learning"☆86Updated 6 years ago
- ZForcing Repo☆40Updated 7 years ago
- An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.☆132Updated 5 years ago
- Experiments with binary LSTM using gumbel-sigmoid☆30Updated 4 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 4 years ago
- Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.☆226Updated 5 years ago
- Experiments for TwinNet paper☆13Updated 6 years ago
- ☆39Updated 2 years ago