395 Open source projects that are alternatives of or similar to Attentionalpoolingaction

Code for Describing a Knowledge Base

HBAM: Hierarchical Bi-directional Word Attention Model

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

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

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

Two Stream CNN implemented in Keras using in skeleton-based action recognition with dataset NTU RGB+D

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

Attention mechanism in CNNs to extract events of interest

Machine Reading Comprehension in Tensorflow

A Repository for maintaining various human skeleton preprocessing steps in numpy and tensorflow along with tensorflow model to learn pose embeddings.

My take on a practical implementation of Linformer for Pytorch.

experiments on classifying actions using poses

Attentive Federated Learning for Private NLM

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

An open-source toolbox for action understanding based on PyTorch

Predict materials properties using only the composition information!

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

HAKE-Action in PyTorch

Implementation of A Structured Self-attentive Sentence Embedding

Data preparation and loader for AMASS

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

Reproduction code for WGAN-LP

nlp lecture-notes and source code

TensorFlow code for finetuning I3D model on UCF101.

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

all kinds of text classification models and more with deep learning

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

An implementation of the efficient attention module.

My 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!

Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".

Skeleton-based Action Recognition Papers and Small Notes and Top 2 Leaderboard for NTU-RGBD

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

Temporal Segment Networks (TSN) in PyTorch

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

Video Platform for Action Recognition and Object Detection in Pytorch

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

Action recognition.基于C3D的视频动作识别

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

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

Using two stream architecture to implement a classic action recognition method on UCF101 dataset

[BMVC 2018] iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection

An implementation of the LRCN in Torch

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

Visualizing RNNs using the attention mechanism

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

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

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

Text classification using deep learning models in Pytorch

My experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves result…

Attention-based multimodal fusion for sentiment analysis

temporal action detection with SSN

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

Code for paper "Attention on Attention for Image Captioning". ICCV 2019

[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)

Hierarchical Attentive Recurrent Tracking

Protein-compound affinity prediction through unified RNN-CNN

Using LSTM or Transformer to solve Image Captioning in Pytorch