afem
deep-implicit-attention
| afem | deep-implicit-attention | |
|---|---|---|
| 1 | 1 | |
| 18 | 63 | |
| - | - | |
| 0.0 | 0.0 | |
| over 3 years ago | over 3 years ago | |
| Python | Python | |
| MIT License | MIT License |
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afem
-
[P] Transformers from Spin Models: Approximate Free Energy Minimization
Code: https://github.com/mcbal/afem
deep-implicit-attention
-
[P] Deep Implicit Attention: A Mean-Field Theory Perspective on Attention Mechanisms
Code: https://github.com/mcbal/deep-implicit-attention
What are some alternatives?
spin-model-transformers - Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
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TimeSformer-pytorch - Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
x-transformers - A concise but complete full-attention transformer with a set of promising experimental features from various papers
vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch