flamingo-pytorch VS slot-attention

Compare flamingo-pytorch vs slot-attention and see what are their differences.

flamingo-pytorch

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch (by lucidrains)
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flamingo-pytorch slot-attention
3 1
1,203 397
- -
0.0 5.0
about 2 years ago 4 months 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.
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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.

flamingo-pytorch

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

slot-attention

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

What are some alternatives?

When comparing flamingo-pytorch and slot-attention you can also consider the following projects:

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

soundstorm-pytorch - Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch

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

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

alphafold2 - To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

nuwa-pytorch - Implementation of NÃœWA, state of the art attention network for text to video synthesis, in Pytorch

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

spin-model-transformers - Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX

t5-pytorch - Implementation of Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer in PyTorch.

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