Alternatives and similar repositories for Multihead-Attention:

Users that are interested in Multihead-Attention are comparing it to the libraries listed below

• LiUzHiAn / VAE-Pytorch
  ☆64Updated 5 years ago
• bojone / infomax
  extract features by maximizing mutual information
  ☆148Updated 5 years ago
• oscarkey / multitask-learning
  MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …
  ☆87Updated 5 years ago
• mathkey / mssnet
  KSSNet: Multi-Label Classification with Label Graph Superimposing
  ☆59Updated 4 years ago
• helloyide / Cross-stitch-Networks-for-Multi-task-Learning
  A Tensorflow implementation of the paper arXiv:1604.03539
  ☆127Updated 6 years ago
• fungtion / DSN
  Pytorch implementation of Domain Separation Networks
  ☆150Updated 5 years ago
• CyberZHG / torch-multi-head-attention
  Multi-head attention in PyTorch
  ☆150Updated 5 years ago
• hujinsen / pytorch_VAE_CVAE
  pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder
  ☆78Updated 6 years ago
• johncava / GCN-pytorch
  Pytorch Implementation of Graph Convolutional Neural Networks
  ☆111Updated 7 years ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆88Updated 3 years ago
• HaleyPei / Implement-of-SCA-CNN
  Implement-of-SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Caption
  ☆51Updated 5 years ago
• mahsa91 / py_mgcn
  MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks
  ☆38Updated 2 years ago
• nwuAI / ConferencesStastics
  The stastics information of top conference realted to information area including AI, ML, CV, etc
  ☆26Updated 5 years ago
• murphyyhuang / gnn_hierarchical_pooling
  Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".
  ☆76Updated 5 years ago
• seongjunyun / CNN-with-Dual-Local-and-Global-Attention
  Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
  ☆121Updated 3 years ago
• syorami / DDC-transfer-learning
  A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
  ☆152Updated 6 years ago
• choosewhatulike / sparse-sharing
  Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"
  ☆92Updated 4 years ago
• ShichengChen / Domain-Adversarial-Training-of-Neural-Networks
  implement Domain-Adversarial Training of Neural Networks
  ☆60Updated 6 years ago
• ylsung / gnn_few_shot_cifar100
  This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)
  ☆86Updated 6 years ago
• hosseinshn / Basic-Multi-task-Learning
  This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
  ☆136Updated 6 years ago
• nguyenvo09 / Double-Attention-Network
  This is the PyTorch implementation of Double Attention Network, NIPS 2018
  ☆32Updated 5 years ago
• animebing / mnist_tsne
  t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
  ☆64Updated 6 years ago
• latentgnn / LatentGNN-V1-PyTorch
  Implementation of “LatentGNN: Learning Efficient Non-local Relations for Visual Recognition”(ICML 2019)
  ☆76Updated 5 years ago
• GuillaumeErhard / Supervised_contrastive_loss_pytorch
  Independent implementation of Supervised Contrastive Loss. Straight to the point and beyond
  ☆78Updated 4 years ago
• rohithreddy024 / VAE-GAN-Pytorch
  Generation of 128x128 bird images using VAE-GAN with additional feature matching loss
  ☆87Updated 6 years ago
• dawnranger / pytorch-AGNN
  Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
  ☆146Updated 7 years ago
• alinlab / L2T-ww
  Learning What and Where to Transfer (ICML 2019)
  ☆248Updated 4 years ago
• mahfujau / domain_adaptation_iccv15
  A PyTorch implement of ICCV2015 "Simultaneous Deep Transfer Across Domains and Tasks"
  ☆36Updated 6 years ago
• hjjpku / Attention_in_Graph
  attention mechanism for graph classification, significant sub-graph mining, graph disstillation
  ☆38Updated 4 years ago
• Justin1904 / Low-rank-Multimodal-Fusion
  This is the repository for "Efficient Low-rank Multimodal Fusion with Modality-Specific Factors", Liu and Shen, et. al. ACL 2018
  ☆259Updated 4 years ago