MoEL: Mixture of Empathetic Listeners
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Updated
May 3, 2024 - Python
MoEL: Mixture of Empathetic Listeners
Implementation of the Swin Transformer in PyTorch.
Transformer Implementation using PyTorch for Neural Machine Translation (Korean to English)
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 Implementation that is easy to understand and customizable.
Pronunciation correction in vector quantized PPG representation space
PyTorch implementation of the original transformer, from scratch
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。
A research project in vision-based deep reinforcement learning centered on transfer learning, unsupervised representation learning, and applying attention mechanisms to interpret memories.
古诗生成模型,基于Transformer/Chinese poetry geneation, based on transformer.
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
An amateur attempts building the decoder block of transformer using PyTorch from scratch.
Yet Another Transformer Implementation
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