Lambda NetworksImplementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
Stars: ✭ 1,497 (+9256.25%)
Mutual labels: attention, attention-mechanism
lstm-attentionAttention-based bidirectional LSTM for Classification Task (ICASSP)
Stars: ✭ 87 (+443.75%)
Mutual labels: attention, attention-mechanism
Absa kerasKeras Implementation of Aspect based Sentiment Analysis
Stars: ✭ 126 (+687.5%)
Mutual labels: attention, attention-mechanism
Isab PytorchAn implementation of (Induced) Set Attention Block, from the Set Transformers paper
Stars: ✭ 21 (+31.25%)
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Graph attention poolAttention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
Stars: ✭ 186 (+1062.5%)
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Global Self Attention NetworkA Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks
Stars: ✭ 64 (+300%)
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Self Attention CvImplementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Stars: ✭ 209 (+1206.25%)
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Pytorch Original TransformerMy implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
Stars: ✭ 411 (+2468.75%)
Mutual labels: attention, attention-mechanism
Datastories Semeval2017 Task4Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Stars: ✭ 184 (+1050%)
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Multimodal Sentiment AnalysisAttention-based multimodal fusion for sentiment analysis
Stars: ✭ 172 (+975%)
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Pytorch GatMy implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
Stars: ✭ 908 (+5575%)
Mutual labels: attention, attention-mechanism
Guided Attention Inference NetworkContains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.
Stars: ✭ 204 (+1175%)
Mutual labels: attention, attention-mechanism
Performer PytorchAn implementation of Performer, a linear attention-based transformer, in Pytorch
Stars: ✭ 546 (+3312.5%)
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Attend infer repeatA Tensorfflow implementation of Attend, Infer, Repeat
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Structured Self AttentionA Structured Self-attentive Sentence Embedding
Stars: ✭ 459 (+2768.75%)
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Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (+687.5%)
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Seq2seq SummarizerPointer-generator reinforced seq2seq summarization in PyTorch
Stars: ✭ 306 (+1812.5%)
Mutual labels: attention, attention-mechanism
Neural spEnd-to-end ASR/LM implementation with PyTorch
Stars: ✭ 408 (+2450%)
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Prediction FlowDeep-Learning based CTR models implemented by PyTorch
Stars: ✭ 138 (+762.5%)
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HnattTrain and visualize Hierarchical Attention Networks
Stars: ✭ 192 (+1100%)
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