242 Open source projects that are alternatives of or similar to CIAN

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

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

Implementation of the Point Transformer layer, in Pytorch

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

Attention mechanism Implementation for Keras.

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

Train and visualize Hierarchical Attention Networks

Text pair classification

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

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

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

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

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

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

Image Captions Generation with Spatial and Channel-wise Attention

Code accompanying Incorporating Chinese Characters of Words for Lexical Sememe Prediction (ACL2018) https://arxiv.org/abs/1806.06349

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

organic chemistry reaction prediction using NMT with Attention

Attention-based multimodal fusion for sentiment analysis

Attention-based bidirectional LSTM for Classification Task (ICASSP)

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

[ACL-WS] 4th place solution to gendered pronoun resolution challenge on Kaggle

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

Important paper implementations for Question Answering using PyTorch

Hierarchical Attentive Recurrent Tracking

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

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

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

Unofficial implementation algorithms of attention models on SNLI dataset

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

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

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

Mid-level PyTorch Based Framework for Visual Question Answering.

Coherent Semantic Attention for image inpainting(ICCV 2019)

TianChi AIEarth Contest Solution

Sparse and structured neural attention mechanisms

Chainer implementation of Deepmind's Visual Attention Model paper

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/

Neural Models for Key Phrase Detection and Question Generation

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

attention based joint model for intent detection and slot filling

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

attention-based LSTM/Dense implemented by Keras

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

Implementation of Slot Attention from GoogleAI

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

Chinese Poetry Generation

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

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

My take on a practical implementation of Linformer for Pytorch.

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

A Neural Network based Chatbot

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

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

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

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

Attention Unet model with post process for retina optic disc segmention

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