CoCa-pytorch VS TimeSformer-pytorch

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

CoCa-pytorch

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch (by lucidrains)

TimeSformer-pytorch

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification (by lucidrains)
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CoCa-pytorch TimeSformer-pytorch
1 1
1,072 694
- -
6.2 0.0
12 months 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.

CoCa-pytorch

Posts with mentions or reviews of CoCa-pytorch. We have used some of these posts to build our list of alternatives and similar projects.

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 CoCa-pytorch and TimeSformer-pytorch you can also consider the following projects:

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

RETRO-pytorch - Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

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

PaLM-pytorch - Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways

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

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

InternVideo - [ECCV2024] Video Foundation Models & Data for Multimodal Understanding

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

x-clip - A concise but complete implementation of CLIP with various experimental improvements from recent papers

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

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