embedding-encoder VS Fast-Transformer

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

embedding-encoder

Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings. (by cpa-analytics)
Machine Learning Deep Learning scikit-learn Keras Tensorflow neural-networks categorical-features categorical-encoding Embeddings
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Fast-Transformer

An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow (by Rishit-dagli)
Machine Learning Transformers attention-mechanism Deep Learning Artificial intelligence Tensorflow Keras
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embedding-encoder Fast-Transformer
1 4
40 146
- -
0.0 0.0
8 months ago about 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
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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.

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

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

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

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

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

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

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

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.

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

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

embedding-encoder vs machine_learning_complete Fast-Transformer vs reformer-pytorch embedding-encoder vs machine-learning-articles Fast-Transformer vs Perceiver embedding-encoder vs handson-ml Fast-Transformer vs Conformer embedding-encoder vs python-machine-learning-book-3rd-edition Fast-Transformer vs machine-learning-experiments embedding-encoder vs Traffic-Lights-Classification-CNN Fast-Transformer vs TimeSformer-pytorch embedding-encoder vs machine-learning-book Fast-Transformer vs Transformer-in-Transformer