x-transformers VS TimeSformer-pytorch

Compare x-transformers vs TimeSformer-pytorch and see what are their differences.

x-transformers

A concise but complete full-attention transformer with a set of promising experimental features from various papers (by lucidrains)

TimeSformer-pytorch

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification (by lucidrains)
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x-transformers TimeSformer-pytorch
10 1
4,863 694
- -
9.2 0.0
1 day ago over 3 years ago
Python Python
MIT License MIT License
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.

x-transformers

Posts with mentions or reviews of x-transformers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-26.

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.

What are some alternatives?

When comparing x-transformers and TimeSformer-pytorch you can also consider the following projects:

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

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

flamingo-pytorch - Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

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

memory-efficient-attention-pytorch - Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"

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

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

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

Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

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