embedding-encoder VS Fast-Transformer

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


Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings. (by cpa-analytics)


An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow (by Rishit-dagli)
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embedding-encoder Fast-Transformer
1 4
38 143
- -
0.0 3.5
about 1 month ago over 1 year ago
Jupyter Notebook 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.
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Posts with mentions or reviews of embedding-encoder. We have used some of these posts to build our list of alternatives and similar projects.

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


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.

What are some alternatives?

When comparing embedding-encoder and Fast-Transformer 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

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

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

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

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

python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository

handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

x-transformers - A simple but complete full-attention transformer with a set of promising experimental features from various papers

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

machine-learning-articles - 🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

language-planner - Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"