320 Open source projects that are alternatives of or similar to SiGAT

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

Code and resources on scalable and efficient Graph Neural Networks

Transformer based on a variant of attention that is linear complexity in respect to sequence length

Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

Coherent Semantic Attention for image inpainting(ICCV 2019)

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

Sparse and structured neural attention mechanisms

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

attention based joint model for intent detection and slot filling

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

attention-based LSTM/Dense implemented by Keras

[ACM MM 2017 & IEEE TMM 2020] This is the Theano code for the paper "Video Description with Spatial Temporal Attention"

Implementation of Slot Attention from GoogleAI

Subgraph Neural Networks (NeurIPS 2020)

Chinese Poetry Generation

Visualization tool for Graph Neural Networks

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

organic chemistry reaction prediction using NMT with Attention

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

Demo of RouteNet in ACM SIGCOMM'19

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

TianChi AIEarth Contest Solution

A bidirectional LSTM with attention for multiclass/multilabel text classification.

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Attention-guided CNN for image denoising(Neural Networks,2020)

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Disentagnled Graph Collaborative Filtering, SIGIR2020

An Implementation of 'Attention is all you need' with Chinese Corpus

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

从零开始学习YOLOv3教程解读代码+注意力模块(SE,SPP,RFB etc)

An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

Reformer, the efficient Transformer, in Pytorch

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

Implementation of Axial attention - attending to multi-dimensional data efficiently

S2VT (seq2seq) video captioning with bahdanau & luong attention implementation in Tensorflow

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.