list of efficient attention modules
翻译 - 有效关注模块列表
#计算机科学#Absolutely amazing SOTA Google Colab (Jupyter) Notebooks for creating/training SOTA Music AI models and for generating music with Transformer technology (Google XLNet/Transformer-XL)
#自然语言处理#Reformer Language Model
#自然语言处理#Symbolic music generation taking inspiration from NLP and human composition process
#计算机科学#An adaptation of Reformer: The Efficient Transformer for text-to-speech task.
#计算机科学#A dedicated convenient repo for different Music Transformers implementations (Reformer/XTransformer/Sinkhorn/etc)
#自然语言处理#Natural Language Generation using Reformer is a Transformer model for longer sequences
Decent and capable Music AI implementation based on the SOTA Google Reformer transformer and code/colab.
#计算机科学#This repository has code for a chatbot using the reformer model. The model was trained on the Multi-Woz dataset.
An implementation of multiple notable attention mechanisms using TensorFlow 2
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#自然语言处理#Scientific Guide AI notebooks is a collection of machine learning and deep learning notebooks prepared by Salem Messoud.
#自然语言处理#Grammatical Error Correction at the character level using Reformers.
