TimeSformer-pytorch VS Fast-Transformer

Compare TimeSformer-pytorch vs Fast-Transformer and see what are their differences.

TimeSformer-pytorch

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification (by lucidrains)

Fast-Transformer

An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow (by Rishit-dagli)
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TimeSformer-pytorch Fast-Transformer
1 4
682 148
- -
0.0 0.0
about 3 years ago over 2 years ago
Python 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.
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.

TimeSformer-pytorch

Posts with mentions or reviews of TimeSformer-pytorch. 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 TimeSformer-pytorch and Fast-Transformer you can also consider the following projects:

DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

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

CoCa-pytorch - Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

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

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

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

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

performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch

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

perceiver-pytorch - Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

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