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

A Transformer Implementation that is easy to understand and customizable.

Pronunciation correction in vector quantized PPG representation space

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 research project in vision-based deep reinforcement learning centered on transfer learning, unsupervised representation learning, and applying attention mechanisms to interpret memories.

A transformer-based model for automatic Image Captioning

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

PyTorch implementation of the original transformer, from scratch

# 自然语言处理 IMDB 情感分析数据集任务

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

The project aims to utilize pre-trained Large Language Models (LLMs) for text summarization through diverse fine-tuning techniques. Comparative analysis with baseline RNN/LSTM language models is undertaken, utilizing established metrics such as Rouge score and BLEU.