list of efficient attention modules
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)
Symbolic music generation taking inspiration from NLP and human composition process
reformer-pytorch中文版本，简单高效的生成模型。类似GPT2的效果
An adaptation of Reformer: The Efficient Transformer for text-to-speech task.
A dedicated convenient repo for different Music Transformers implementations (Reformer/XTransformer/Sinkhorn/etc)
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.
NLP Code Snippets and Conference related
reformer-pytorch中文版本，简单高效的生成模型。类似GPT2的效果
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
Imran Parthib 🚀 Enthusiastic Web Developer and programmer 🌐 Crafting seamless digital experiences with passion and precision. Proudly representing the vibrant spirit of Bangladesh
Scientific Guide AI notebooks is a collection of machine learning and deep learning notebooks prepared by Salem Messoud.
Grammatical Error Correction at the character level using Reformers.
Natural Language Processing
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