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

A Jest transformer using esbuild

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

Implementation of the GBST block from the Charformer paper, in Pytorch

MoEL: Mixture of Empathetic Listeners

The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

text generation based on transformer

Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"

Multilingual Meta-Embeddings for Named Entity Recognition (RepL4NLP & EMNLP 2019)

一些不同的Attention机制代码

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

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

Unofficial PyTorch implementation of 2D Attentional Irregular Scene Text Recognizer

Transformer-XL for Jazz music composition. Paper: "The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-Composed Music through Quantitative Measures", ISMIR 2020

Implementation of Linformer for Pytorch

Witwicky: An implementation of Transformer in PyTorch.

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

CVPR 2021: "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE"

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

⌛ Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

A python library that makes AMR parsing, generation and visualization simple.

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

[CVPR2020] "Detecting Attended Visual Targets in Video"

End-to-End Automatic Speech Recognition on PyTorch

Unofficial implementation of MaX-DeepLab for Instance Segmentation

Molecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer

[AKBC 19] Improving Relation Extraction by Pre-trained Language Representations

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

Repository for ODSC talk related to Deep Learning NLP

Neutron: A pytorch based implementation of Transformer and its variants.

Deep-Learning based CTR models implemented by PyTorch

Using LSTM or Transformer to solve Image Captioning in Pytorch

Keras implementation of BERT with pre-trained weights

HAL+JSON & HAL+XML API transformer outputting valid (PSR-7) API Responses.

FormBuilder + class-transformer + class-validator = dynamic form group builder for Angular10+

End-to-end Temporal Action Detection with Transformer. [Under review for a journal publication]

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Transfromer tensorflow2.0版本实现

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

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

研读顶会论文，复现论文相关代码

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

CNN, LSTM, NBOW, fasttext 中文文本分类

Contextualised Embeddings and Language Modelling using BERT and Friends using R

Trax — Deep Learning with Clear Code and Speed

Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

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

Trained T5 and T5-large model for creating keywords from text

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

Streaming, transforming, SPARQL-based CSV to RDF converter. Apache license.

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.

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

PyTorch repository for text categorization and NER experiments in Turkish and English.

Mutate Laravel attributes

Personalizing Dialogue Agents via Meta-Learning

reference tensorflow code for named entity tagging

TensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification"

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.