178 Open source projects that are alternatives of or similar to AiR

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Punctuation restoration and spell correction experiments.

[CVPR'2019]PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting

Julia Implementation of Transformer models

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Attention-based bidirectional LSTM for Classification Task (ICASSP)

BertQA - Attention on Steroids

Train and visualize Hierarchical Attention Networks

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension

Long Range Arena for Benchmarking Efficient Transformers

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Keras Implementation of Aspect based Sentiment Analysis

seq2seq attention tensorflow textrank context

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

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.

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Compact Generalized Non-local Network (NIPS 2018)

CNN, LSTM, NBOW, fasttext 中文文本分类

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

Implementation of Pyramid Attention Networks for Semantic Segmentation.

document classification using LSTM + self attention

all kinds of baseline models for long text classificaiton( text categorization)

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Attention-based multimodal fusion for sentiment analysis

2018-JDDC大赛第4名的解决方案

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

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

Deep-Learning based CTR models implemented by PyTorch

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

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

Sequence to Sequence Models in PyTorch

基于卷积神经网络的语音识别声学模型的研究

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

Criss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

Hierarchical Attention Networks for Chinese Sentiment Classification

Draw a leader line in your web page.

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)

Machine learning, in numpy

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

Multi-turn dialogue baselines written in PyTorch

A pytorch implementation of the attention based ocr

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

Tensorflow implementation of "A Structured Self-Attentive Sentence Embedding"

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

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

Collection of custom layers and utility functions for Keras which are missing in the main framework.

A pytorch implementation of https://arxiv.org/abs/1904.09925

Collection of NLP model explanations and accompanying analysis tools

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.