MachineLearning-QandAI-book VS Fast-Transformer

Compare MachineLearning-QandAI-book vs Fast-Transformer and see what are their differences.

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MachineLearning-QandAI-book Fast-Transformer
3 4
243 146
- -
6.4 0.0
about 1 month ago over 2 years ago
Jupyter Notebook Jupyter Notebook
BSD 3-clause "New" or "Revised" 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.
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.

MachineLearning-QandAI-book

Posts with mentions or reviews of MachineLearning-QandAI-book. 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 MachineLearning-QandAI-book and Fast-Transformer you can also consider the following projects:

Deep-Learning-With-TensorFlow - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow

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

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

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.

vision_models_playground - Playground for testing and implementing various Vision Models

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

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

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