renjunxiang / Multihead-AttentionLinks
Multihead Attention for PyTorch
☆27Updated 6 years ago
Alternatives and similar repositories for Multihead-Attention
Users that are interested in Multihead-Attention are comparing it to the libraries listed below
Sorting:
- pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder☆80Updated 7 years ago
- Pytorch implementation of Domain Separation Networks☆152Updated 6 years ago
- This is the repository for "Efficient Low-rank Multimodal Fusion with Modality-Specific Factors", Liu and Shen, et. al. ACL 2018☆266Updated 5 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆88Updated 7 years ago
- extract features by maximizing mutual information☆148Updated 6 years ago
- Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019☆320Updated 6 years ago
- ☆275Updated 6 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Updated 7 years ago
- ☆66Updated 5 years ago
- Graph Convolution Network for PyTorch☆405Updated 6 years ago
- KSSNet: Multi-Label Classification with Label Graph Superimposing☆60Updated 5 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆340Updated 6 years ago
- A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation☆151Updated 5 years ago
- Multi-head attention in PyTorch☆154Updated 6 years ago
- A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance☆160Updated 6 years ago
- Pytorch Implementation of Graph Convolutional Neural Networks☆111Updated 8 years ago
- MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks☆38Updated 3 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆244Updated 6 years ago
- This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).☆47Updated 6 years ago
- Implement-of-SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Caption☆53Updated 6 years ago
- A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.☆146Updated 6 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆215Updated 5 years ago
- MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …☆91Updated 5 years ago
- Code release for Universal Domain Adaptation(CVPR 2019)☆280Updated 2 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆271Updated 3 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆177Updated 4 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆89Updated last year
- Learning What and Where to Transfer (ICML 2019)☆250Updated 5 years ago
- ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition (ECCV 2020)☆133Updated 3 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆179Updated last year