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
A collection of tricks to speed up LLMs
✨ Solve multi_dimensional multiple knapsack problem using state_of_the_art Reinforcement Learning Algorithms and transformers
Annotated implementation of vanilla Transformers to guide through all the ambiguities.
Pronunciation correction in vector quantized PPG representation space
natural language processing with pytorch based on transformer model
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
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