Fast-Transformer VS reformer-pytorch

Compare Fast-Transformer vs reformer-pytorch and see what are their differences.


An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow (by Rishit-dagli)
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Fast-Transformer reformer-pytorch
4 2
146 1,984
- -
3.2 0.0
almost 2 years ago 5 months ago
Jupyter Notebook Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Posts with mentions or reviews of Fast-Transformer. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Fast-Transformer yet.
Tracking mentions began in Dec 2020.


Posts with mentions or reviews of reformer-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-06.

What are some alternatives?

When comparing Fast-Transformer and reformer-pytorch you can also consider the following projects:

vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

simpleT5 - simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch

Perceiver - Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow

LSTM-FCN - Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

Conformer - An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Transformer Variant in TensorFlow/Keras

DeepPoseKit - a toolkit for pose estimation using deep learning

machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

TimeSformer-pytorch - Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

Transformer-in-Transformer - An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.