579 Open source projects that are alternatives of or similar to seq2seq-pytorch

End-to-end ASR/LM implementation with PyTorch

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

Predict materials properties using only the composition information!

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

2018-JDDC大赛第4名的解决方案

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.

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a collection of visualization function

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

Julia Implementation of Transformer models

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LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

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text generation based on transformer

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

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

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

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.

BertQA - Attention on Steroids

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

Transformer implemented in Keras

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Neural Machine Translation with Keras

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

list of efficient attention modules

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

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

Summary of Transformer applications for computer vision tasks.

Image captioning using attention models

An implementation of attention-based neural machine translation using Pytorch

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

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

Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)

Multi-turn dialogue baselines written in PyTorch

A PyTorch Implementation of "Attention Is All You Need"

an open-source implementation of sequence-to-sequence based speech processing engine

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

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

Transformer for Graph Classification (Pytorch and Tensorflow)

Easy to use NLP library built on PyTorch and TorchText

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

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

Transformer-based image captioning extension for pytorch/fairseq

Understanding the Difficulty of Training Transformers

Meshed-Memory Transformer for Image Captioning. CVPR 2020

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

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PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

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

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