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

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

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

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.

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

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

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

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

A seq2seq with attention dialogue/MT model implemented by TensorFlow.

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

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

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

Machine translation is the task of converting one language to other. Unlike the traditional phrase-based translation system which consists of many small sub-components that are tuned separately, neural machine translation attempts to build and train a single, large neural network that reads a sentence and outputs a correct translation.

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

Pytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).

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

An implementation of the efficient attention module.

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

Predict materials properties using only the composition information!

This is our implementation of SAMN: Social Attentional Memory Network