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。
Transformer Implementation using PyTorch for Neural Machine Translation (Korean to English)
MoEL: Mixture of Empathetic Listeners
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
natural language processing with pytorch based on transformer model
Pronunciation correction in vector quantized PPG representation space
A transformer-based model for automatic Image Captioning
✨ Solve multi_dimensional multiple knapsack problem using state_of_the_art Reinforcement Learning Algorithms and transformers
Pure C multi modal 3D Hybrid GAN using Cross attention, attention and convolution
An amateur attempts building the decoder block of transformer using PyTorch from scratch.
Deep Learning Course Assignment on Image Captioning and Machine Translation using LSTMs
Yet Another Transformer Implementation
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
Magic The GPT - GPT inspired model to generate Magic the Gathering cards
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.
古诗生成模型,基于Transformer/Chinese poetry geneation, based on transformer.
Pytorch implementation of image captioning using transformer-based model.
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