TimeSformer-pytorch VS Perceiver

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

TimeSformer-pytorch

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification (by lucidrains)
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TimeSformer-pytorch Perceiver
1 7
658 85
- -
0.0 2.6
over 2 years ago about 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.

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.

Perceiver

Posts with mentions or reviews of Perceiver. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-15.

What are some alternatives?

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

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

Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

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

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

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

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

gato - Unofficial Gato: A Generalist Agent

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

deepmind-perceiver - My implementation of DeepMind's Perceiver

deep-implicit-attention - Implementation of deep implicit attention in PyTorch

conformer - Implementation of the convolutional module from the Conformer paper, for use in Transformers