Fast-Transformer VS Conformer

Compare Fast-Transformer vs Conformer 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)


An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Transformer Variant in TensorFlow/Keras (by Rishit-dagli)
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Fast-Transformer Conformer
4 2
146 33
- -
3.2 0.0
almost 2 years ago almost 2 years ago
Jupyter Notebook Python
Apache License 2.0 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.


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 Conformer. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Conformer yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

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

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

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

lamda-pytorch - Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT. [Moved to:]

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.

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

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

vision_models_playground - Playground for testing and implementing various Vision Models

handwritten-digits-recognizer-webapp - This is my first experience with machine learning