Implementation of the Swin Transformer in PyTorch.

NLP 领域常见任务的实现，包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。

Transformer Implementation using PyTorch for Neural Machine Translation (Korean to English)

MoEL: Mixture of Empathetic Listeners

A collection of tricks and tools to speed up transformer models

Pytorch implementation of image captioning using transformer-based model.

A Transformer Implementation that is easy to understand and customizable.

Transformer-based model for Speech Emotion Recognition(SER) - implemented by Pytorch

Pronunciation correction in vector quantized PPG representation space

natural language processing with pytorch based on transformer model

A transformer-based model for automatic Image Captioning

Raw C/cuda implementation of 3d GAN

# 自然语言处理 IMDB 情感分析数据集任务

✨ Solve multi_dimensional multiple knapsack problem using state_of_the_art Reinforcement Learning Algorithms and transformers

Yet Another Transformer Implementation

Implementation of the Swin Transformer in PyTorch. and use Article: arxiv.org/pdf/2103.14030.pdf

古诗生成模型，基于Transformer/Chinese poetry geneation, based on transformer.

Deep Learning Course Assignment on Image Captioning and Machine Translation using LSTMs

pytorch Implementation of deep learning models

Public repo for the paper: "COSMic: A Coherence-Aware Generation Metric for Image Descriptions" by Mert İnan, Piyush Sharma, Baber Khalid, Radu Soricut, Matthew Stone, Malihe Alikhani