Fast-Transformer VS embedding-encoder

Compare Fast-Transformer vs embedding-encoder 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)

embedding-encoder

Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings. (by cpa-analytics)
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Fast-Transformer embedding-encoder
4 1
150 41
- -
0.0 0.0
almost 3 years ago over 1 year ago
Jupyter Notebook Jupyter Notebook
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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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.

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.

embedding-encoder

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

What are some alternatives?

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

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

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

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

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

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

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

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

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

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

machine-learning-book - Code Repository for Machine Learning with PyTorch and Scikit-Learn

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

Traffic-Lights-Classification-CNN - Coding and testing a convolutional neural network for classifying traffic lights, with Keras and Tensorflow, using LISA dataset.

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