508 Open source projects that are alternatives of or similar to Graphtransformer

BertQA - Attention on Steroids

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

Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].

Sequence to Sequence Models in PyTorch

Implementation of State-of-the-art Text Classification Models in Pytorch

Multi-turn dialogue baselines written in PyTorch

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

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

A PyTorch Implementation of "Attention Is All You Need"

Transformer implemented in Keras

TensorFlow implementation of 'Attention Is All You Need (2017. 6)'

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Predict materials properties using only the composition information!

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

End-to-end ASR/LM implementation with PyTorch

Summary of Transformer applications for computer vision tasks.

a collection of visualization function

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

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

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

nlp lecture-notes and source code

Fine-grained Sentiment Analysis of User Reviews --- AI CHALLENGER 2018

NLP: Relation extraction with position-aware self-attention transformer

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

list of efficient attention modules

2018-JDDC大赛第4名的解决方案

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

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

Natural Language Processing Tutorial for Deep Learning Researchers

Julia Implementation of Transformer models

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

End-to-End Automatic Speech Recognition on PyTorch

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

Deep-Learning based CTR models implemented by PyTorch

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

Attention-based multimodal fusion for sentiment analysis

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

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

OpenAI GPT2 pre-training and sequence prediction implementation in Tensorflow 2.0

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。

基于卷积神经网络的语音识别声学模型的研究

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

Implementation of Pyramid Attention Networks for Semantic Segmentation.

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

Keras Implementation of Aspect based Sentiment Analysis

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

Running BERT without Padding

Punctuation restoration and spell correction experiments.

Transformer-based image captioning extension for pytorch/fairseq

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

An Implementation of 'Attention is all you need' with Chinese Corpus

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

JSON API Transformer Bundle for Symfony 2 and Symfony 3

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

Understanding the Difficulty of Training Transformers

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Draw a leader line in your web page.

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques