thomlake / pytorch-attentionLinks
pytorch neural network attention mechanism
☆147Updated 6 years ago
Alternatives and similar repositories for pytorch-attention
Users that are interested in pytorch-attention are comparing it to the libraries listed below
Sorting:
- Code for Sluice networks: Learning what to share between loosely related tasks☆154Updated 6 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆81Updated 6 years ago
- pytorch implementation of VAE-Gumble-Softmax☆63Updated 5 years ago
- An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.☆245Updated 6 years ago
- pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831☆121Updated 6 years ago
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆137Updated 4 years ago
- AE, VAE, and CVAE in PyTorch☆66Updated 6 years ago
- Sparse and structured neural attention mechanisms☆224Updated 4 years ago
- LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods☆80Updated 8 years ago
- Two-Layer Hierarchical Softmax Implementation for PyTorch☆69Updated 4 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- Policy based Active Learning with DQN (EMNLP-2017)☆90Updated 7 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 8 years ago
- The Noise Contrastive Estimation for softmax output written in Pytorch☆319Updated 5 years ago
- NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting☆109Updated 4 years ago
- The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18☆33Updated 7 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 6 years ago
- Latent Alignment and Variational Attention☆327Updated 6 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- Codes for "Towards Binary-Valued Gates for Robust LSTM Training".☆75Updated 7 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- extract features by maximizing mutual information☆148Updated 5 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 6 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Gold Loss Correction☆87Updated 6 years ago
- PyTorch DataLoader for seq2seq☆85Updated 6 years ago
- A chainer implementation of Memory Augmented Neural Network☆48Updated 9 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- codes for Variational Autoencoder for Semi-supervised Text Classification☆40Updated 7 years ago
- Pytorch Implementation for Graph Convolutional Neural Networks☆325Updated 7 years ago