jihunchoi / recurrent-batch-normalization-pytorch
PyTorch implementation of recurrent batch normalization
☆244Updated 6 years ago
Alternatives and similar repositories for recurrent-batch-normalization-pytorch:
Users that are interested in recurrent-batch-normalization-pytorch are comparing it to the libraries listed below
- An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.☆245Updated 6 years ago
- Sequence-to-Sequence learning using PyTorch☆523Updated 5 years ago
- Code for the Eager Translation Model from the paper You May Not Need Attention☆295Updated 6 years ago
- VQ-VAE implementation / pytorch☆181Updated 7 years ago
- Latent Alignment and Variational Attention☆327Updated 6 years ago
- Sparse and structured neural attention mechanisms☆223Updated 4 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
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆136Updated 3 years ago
- Implementation of papers on Deep Seq2seq learning using Pytorch.☆220Updated 5 years ago
- Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction☆503Updated 3 years ago
- ☆396Updated 6 years ago
- The Annotated Encoder Decoder with Attention☆166Updated 3 years ago
- Sparse Variational Dropout, ICML 2017☆312Updated 4 years ago
- Tensorflow implementation for DilatedRNN☆347Updated 7 years ago
- Some example scripts on pytorch☆197Updated 3 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆119Updated 7 years ago
- [ICLR'19] Trellis Networks for Sequence Modeling☆472Updated 5 years ago
- A set of simple examples ported from PyTorch for Tensorflow Eager Execution☆73Updated 6 years ago
- AI challenge deadlines with link to software baselines and evaluation results.☆198Updated 5 years ago
- Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)☆122Updated last year
- Understanding and visualizing PyTorch Batching with LSTM☆139Updated 7 years ago
- [NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".☆169Updated 5 years ago
- ICLR Reproducibility Challenge 2019☆219Updated 5 years ago
- Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom☆278Updated 6 years ago
- Recurrent Variational Autoencoder that generates sequential data implemented with pytorch☆359Updated 7 years ago
- My personal notes and surveys on DL, CV and NLP papers.☆127Updated 5 years ago
- Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).☆259Updated 6 years ago
- Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning☆311Updated 4 years ago
- PyTorch and Tensorflow functional model definitions☆587Updated 6 years ago