413 Open source projects that are alternatives of or similar to AoA-pytorch

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

Multigrid Neural Architecture

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Repo for ICCV 2021 paper: Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering

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

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

JavaScript/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.

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

codes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

Image Captioning with Keras

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

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

Pytorch implementation of a basic language model using Attention in LSTM network

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

Implementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Pytorch

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

A Pytorch implementation of CVPR 2020 paper: Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text

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

Arbitrary Style Transfer with Style-Attentional Networks

采用深度学习方法进行刀具识别。

A framework for Multimodal Intelligence research from Inspur HSSLAB.

Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

[CVPR21] Visual Semantic Role Labeling for Video Understanding (https://arxiv.org/abs/2104.00990)

[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

A list of data mining and machine learning papers that I implemented in 2019.

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

organic chemistry reaction prediction using NMT with Attention

Visual Dialog: Light-weight Transformer for Many Inputs (ECCV 2020)

A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series

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

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

一套友好的、方便集成的针对cell的左滑编辑功能！

A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset

Attention Unet model with post process for retina optic disc segmention

Unofficial implementation algorithms of attention models on SNLI dataset

Attention mechanism in CNNs to extract events of interest

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

No description or website provided.

Search photos on Unsplash based on OpenAI's CLIP model, support search with joint image+text queries and attention visualization.

Visualize BERT's self-attention layers on text classification tasks

Chainer implementation of Deepmind's Visual Attention Model paper

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.

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

Official Repository for ECCV 2020 paper "AiR: Attention with Reasoning Capability"

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019

A Neural Network based Chatbot

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

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images

Playground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.

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

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.