TimeSformer-pytorch
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
Classify videos using an attention-based model that focuses on time and space for improved accuracy.
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Free · no card · unsubscribe anytimeImplementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
TimeSformer-pytorch has 729 stars on GitHub. It has been forked 89 times. TimeSformer-pytorch is written mainly in Python. It has been in active development since 2021. TimeSformer-pytorch is available under the MIT license. Its main topics are artificial-intelligence, attention-mechanism, deep-learning, transformers.
What is TimeSformer-pytorch?
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
Is TimeSformer-pytorch open source?
TimeSformer-pytorch is an open-source project. It is released under the MIT license.
Is TimeSformer-pytorch free?
Yes. TimeSformer-pytorch is free and open source — you can use, modify and self-host it.
What license does TimeSformer-pytorch use?
TimeSformer-pytorch is available under the MIT license.
What language is TimeSformer-pytorch written in?
TimeSformer-pytorch is written mainly in Python.
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