keras cv attention modelsKeras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox
CoVA-Web-Object-DetectionA Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
NTUA-slp-nlp💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
RNNSearchAn implementation of attention-based neural machine translation using Pytorch
AoA-pytorchA Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering
ntua-slp-semeval2018Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
iPerceiveApplying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
lambda.pytorchPyTorch implementation of Lambda Network and pretrained Lambda-ResNet
LFattNetAttention-based View Selection Networks for Light-field Disparity Estimation
staginSTAGIN: Spatio-Temporal Attention Graph Isomorphism Network
transformerA PyTorch Implementation of "Attention Is All You Need"
gnn-lspeSource code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
jeelizGlanceTrackerJavaScript/WebGL lib: detect if the user is looking at the screen or not from the webcam video feed. Lightweight and robust to all lighting conditions. Great for play/pause videos if the user is looking or not, or for person detection. Link to live demo.
chatbot一个基于深度学习的中文聊天机器人,这里有详细的教程与代码,每份代码都有详细的注释,作为学习是美好的选择。A Chinese chatbot based on deep learning.
CrabNetPredict materials properties using only the composition information!
EBIM-NLIEnhanced BiLSTM Inference Model for Natural Language Inference
h-transformer-1dImplementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning
External-Attention-pytorch🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
TRAR-VQA[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation
AttnSleep[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
RecycleNetAttentional Learning of Trash Classification
DeepMoveCodes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network
DeepLearningReadingDeep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)
flow1d[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation
bert attn vizVisualize BERT's self-attention layers on text classification tasks
AiROfficial Repository for ECCV 2020 paper "AiR: Attention with Reasoning Capability"
tensorflow-chatbot-chinese網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding
Im2LaTeXAn implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem
dreyeve[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.
lstm-attentionAttention-based bidirectional LSTM for Classification Task (ICASSP)
MGANExploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)