Perceiver VS conformer

Compare Perceiver vs conformer and see what are their differences.

conformer

Implementation of the convolutional module from the Conformer paper, for use in Transformers (by lucidrains)
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Perceiver conformer
7 1
85 333
- -
2.6 3.1
about 3 years ago 12 months ago
Python Python
MIT License MIT License
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.

conformer

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

What are some alternatives?

When comparing Perceiver and conformer 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.

routing-transformer - Fully featured implementation of Routing Transformer

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

enformer-pytorch - Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch

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

uformer-pytorch - Implementation of Uformer, Attention-based Unet, in Pytorch

gato - Unofficial Gato: A Generalist Agent

Nystromformer - An implementation of the Nyströmformer, using Nystrom method to approximate standard self attention

deepmind-perceiver - My implementation of DeepMind's Perceiver

mixture-of-experts - A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models