Implementation of the Swin Transformer in PyTorch.
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Updated
Mar 29, 2021 - Python
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。
MoEL: Mixture of Empathetic Listeners
Transformer Implementation using PyTorch for Neural Machine Translation (Korean to English)
Pytorch implementation of image captioning using transformer-based model.
Transformer-based model for Speech Emotion Recognition(SER) - implemented by Pytorch
✨ Solve multi_dimensional multiple knapsack problem using state_of_the_art Reinforcement Learning Algorithms and transformers
natural language processing with pytorch based on transformer model
Pronunciation correction in vector quantized PPG representation space
A Transformer Implementation that is easy to understand and customizable.
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
pytorch Implementation of deep learning models
A transformer-based model for automatic Image Captioning
A research project in vision-based deep reinforcement learning centered on transfer learning, unsupervised representation learning, and applying attention mechanisms to interpret memories.
An encoder-transformer architecture-based framework for multi-variate time series prediction with a prognostics use case.
Magic The GPT - GPT inspired model to generate Magic the Gathering cards
# 自然语言处理 IMDB 情感分析数据集任务
Yet Another Transformer Implementation
PyTorch implementation of the original transformer, from scratch
Raw C/cuda implementation of 3d GAN
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