Perceiver VS Fast-Transformer

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

Fast-Transformer

An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow (by Rishit-dagli)
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Perceiver Fast-Transformer
7 4
86 148
- -
2.6 0.0
over 3 years ago over 2 years ago
Python Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Perceiver

Posts with mentions or reviews of Perceiver. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-15.

Fast-Transformer

Posts with mentions or reviews of Fast-Transformer. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

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

Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

reformer-pytorch - Reformer, the efficient Transformer, in Pytorch

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

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

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

deepmind-perceiver - My implementation of DeepMind's Perceiver

gato - Unofficial Gato: A Generalist Agent

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

conformer - Implementation of the convolutional module from the Conformer paper, for use in Transformers

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

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